-
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Ramona Ghilea, Islem Rekik
2024-03-09T02:19:03Z
置信度 0.70
-
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Pawan Hegde, Gokul Yenduri, Praveen Kumar Reddy Maddikunta, Ben Othman Soufiene 等
2025-01-13T08:38:15Z
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Shinu M. Rajagopal, M. Supriya, Rajkumar Buyya
2024-05-30T10:30:21Z
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Monika Sethi, Jyoti Snehi, Manish Snehi, Aadrit Aggarwal
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SÜMEYRA TERZİOĞLU, Ali Fuat Alkaya
2024-02-15T09:22:27Z
置信度 0.70
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Jaewon Jang, Bong Jun Choi
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置信度 0.70
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Rachael Hwee Ling Sim, Sebastian Shenghong Tay, Xinyi Xu, Yehong Zhang 等
2024-02-23T09:49:42Z
置信度 0.70
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Alireza Javani, Zhiying Wang
2025-03-11T17:30:35Z
置信度 0.70
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Federated learning is a machine learning approach that allows many parties to collaborate on training a model without disclosing their raw data. Federated learning is critical in the context of the Internet of Vehicles (IoVs) because it allows cars to exchange…
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Kapil Kumar Sharma, Gopal Krishna, Gaurav Singh Negi, Jitendra Kumar Gupta
2024-12-19T05:23:34Z
置信度 0.70
-
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Luca Barbieri, Mattia Brambilla, Manuel Roveri
2025-01-21T18:22:35Z
置信度 0.70
-
Aging, codified in ICD-11 (code XT9T “Ageing-related,” 2018; code MG2A “Ageing-associated decline in intrinsic capacity,” 2025), requires integrative biomarker frameworks that extend beyond individual epigenetic clocks and wearable predictors. We present a hyp…
datacite
Tkemaladze, Jaba
2026
置信度 0.66
aging biomarkerZe complexity indexfederated learningdifferential privacycitizen science
-
ECG-GenoNet: A Universal Multimodal Deep Learning System for Portable Cardiovascular Diagnostics in Resource-Limited Settings Konstantinos Papageorgiou, MD Independent Researcher; General and Family Medicine, Kalamaria, Thessaloniki, Greece Correspondence: kop…
datacite
Papageorgiou, Konstantinos
2026
置信度 0.66
-
ECG-GenoNet: A Universal Multimodal Deep Learning System for Portable Cardiovascular Diagnostics in Resource-Limited Settings Konstantinos Papageorgiou, MD Independent Researcher; General and Family Medicine, Kalamaria, Thessaloniki, Greece Correspondence: kop…
datacite
Papageorgiou, Konstantinos
2026
置信度 0.66
-
ECG-GenoNet: A Universal Multimodal Deep Learning System for Portable Cardiovascular Diagnostics in Resource-Limited Settings Konstantinos Papageorgiou, MD Independent Researcher; General and Family Medicine, Kalamaria, Thessaloniki, Greece Correspondence: kop…
datacite
Papageorgiou, Konstantinos
2026
置信度 0.66
-
@article{rangwala2025sketchguard, title={SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening}, author={Rangwala, Murtaza and Azzedin, Farag and Sinnott, Richard O and Buyya, Rajkumar}, journal={arXiv preprint arXiv…
datacite
Murtaza Rangwala
2026
置信度 0.66
-
@article{rangwala2025sketchguard, title={SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening}, author={Rangwala, Murtaza and Azzedin, Farag and Sinnott, Richard O and Buyya, Rajkumar}, journal={arXiv preprint arXiv…
datacite
Murtaza Rangwala
2026
置信度 0.66
-
Between 2020 and 2025, the integration of Internet of Things (IoT) sensor networks into aquaculture water quality management has seen a transformational acceleration due to the convergence of advanced sensor miniaturization, edge computing, artificial intellig…
datacite
Praful Nandankar, Prashantkumar V. Dhawas, Shilpa Kalambe
2026
置信度 0.66
Artificial intelligence; Document intelligence; Deep Learning IoT; Water Quality Monitoring; Aquaculture; Artificial Intelligence; Digital Twins; 5G Connectivity; Nano sensors; Edge Computing; Machine Learning; Bio floc Technology; RAS; Aquaponics
-
Between 2020 and 2025, the integration of Internet of Things (IoT) sensor networks into aquaculture water quality management has seen a transformational acceleration due to the convergence of advanced sensor miniaturization, edge computing, artificial intellig…
datacite
Praful Nandankar, Prashantkumar V. Dhawas, Shilpa Kalambe
2026
置信度 0.66
Artificial intelligence; Document intelligence; Deep Learning IoT; Water Quality Monitoring; Aquaculture; Artificial Intelligence; Digital Twins; 5G Connectivity; Nano sensors; Edge Computing; Machine Learning; Bio floc Technology; RAS; Aquaponics
-
As organizations migrate legacy datasets to cloud-native architectures, the tension between Big Data analytics and data privacy regulations has reached a critical inflection point. With the full operationalization of India’s Digital Personal Data Protection (D…
datacite
Mr. Tayabur Rahman Laskar
2026
置信度 0.66
Data Sovereignty, DPDP Act 2023, Confidential Computing, Federated Learning, GDPR, Cloud Security, Big Data Governance.
-
As organizations migrate legacy datasets to cloud-native architectures, the tension between Big Data analytics and data privacy regulations has reached a critical inflection point. With the full operationalization of India’s Digital Personal Data Protection (D…
datacite
Mr. Tayabur Rahman Laskar
2026
置信度 0.66
Data Sovereignty, DPDP Act 2023, Confidential Computing, Federated Learning, GDPR, Cloud Security, Big Data Governance.
-
This dataset contains the complete data-extraction workbook of the systematic literature review "Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies". The review, conducted under the Kitchenham/Charters guidel…
datacite
Freire, Agostinho, de Andrade, João Vinícius Ribeiro, Silva, Leandro Honorato, Lira, Juan 等
2026
置信度 0.66
federated learningknowledge distillationsynthetic dataproxy datasetssystematic literature review
-
This dataset contains the complete data-extraction workbook of the systematic literature review "Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies". The review, conducted under the Kitchenham/Charters guidel…
datacite
Freire, Agostinho, de Andrade, João Vinícius Ribeiro, Silva, Leandro Honorato, Lira, Juan 等
2026
置信度 0.66
federated learningknowledge distillationsynthetic dataproxy datasetssystematic literature review
-
Nigeria faces a compounding security crisis driven by the Boko Haram/ISWAP insurgency in the Northeast and an escalating wave of armed banditry and mass kidnapping in the Northwest. Between 2023 and 2025, over 2,452 individuals were kidnapped annually (a 31% y…
datacite
Sulaiman, J., Hussain, M. M. A.
2026
置信度 0.66
-
Nigeria faces a compounding security crisis driven by the Boko Haram/ISWAP insurgency in the Northeast and an escalating wave of armed banditry and mass kidnapping in the Northwest. Between 2023 and 2025, over 2,452 individuals were kidnapped annually (a 31% y…
datacite
Sulaiman, J., Hussain, M. M. A.
2026
置信度 0.66
-
131,400 node-hour observations across 15 bioenergy grid nodes (6 anaerobic digesters, 5 gasifiers, 4 CHP units) over 365 days at hourly resolution. Parameters calibrated to Faaij (2006) and Atashbar et al. (2016). Generated for: Ethical Guardrail Bandit Prunin…
datacite
Moroke, Ntebogang
2026
置信度 0.66
-
131,400 node-hour observations across 15 bioenergy grid nodes (6 anaerobic digesters, 5 gasifiers, 4 CHP units) over 365 days at hourly resolution. Parameters calibrated to Faaij (2006) and Atashbar et al. (2016). Generated for: Ethical Guardrail Bandit Prunin…
datacite
Moroke, Ntebogang
2026
置信度 0.66
-
Artifact for the paper submission on Fed-CL-IDS ” a federated intrusion-detection system that combines continual learning (experience replay + online Elastic Weight Consolidation) with record-level differential privacy (DP-SGD) under FedAvg aggregation. Backgr…
datacite
anonymous
2026
置信度 0.66
-
Artifact for the paper submission on Fed-CL-IDS ” a federated intrusion-detection system that combines continual learning (experience replay + online Elastic Weight Consolidation) with record-level differential privacy (DP-SGD) under FedAvg aggregation. Backgr…
datacite
anonymous
2026
置信度 0.66
-
COVID-19 changed everything for education almost overnight. Schools and colleges had no choice but to shift online, and with that shift came a big question: how do you make sure students are not cheating when they are sitting at home? Traditional invigilation …
datacite
Deepak Kumar, Mrs. Khushboo
2026
置信度 0.66
Online exam proctoring, AI, computer vision, YOLO, deep learning, cheating detection, academic integrity, facial recognition, behavioural analysis, natural language processing.
-
COVID-19 changed everything for education almost overnight. Schools and colleges had no choice but to shift online, and with that shift came a big question: how do you make sure students are not cheating when they are sitting at home? Traditional invigilation …
datacite
Deepak Kumar, Mrs. Khushboo
2026
置信度 0.66
Online exam proctoring, AI, computer vision, YOLO, deep learning, cheating detection, academic integrity, facial recognition, behavioural analysis, natural language processing.
-
Big Data Analytics has emerged as an important area of computer science because of the rapid growth of data generated through digital platforms, social media, Internet of Things (IoT) devices, business transactions, mobile applications, sensors, and other digi…
datacite
Hiremath, Swati S
2026
置信度 0.66
Big Data Analytics, Artificial Intelligence, Machine Learning, Internet of Things, Predictive Analytics, Generative AI, Edge Computing, Data Analytics
-
Big Data Analytics has emerged as an important area of computer science because of the rapid growth of data generated through digital platforms, social media, Internet of Things (IoT) devices, business transactions, mobile applications, sensors, and other digi…
datacite
Hiremath, Swati S
2026
置信度 0.66
Big Data Analytics, Artificial Intelligence, Machine Learning, Internet of Things, Predictive Analytics, Generative AI, Edge Computing, Data Analytics
-
Abstract The number of people diagnosed with cancer is rising worldwide and has become a leading cause of death. Therefore, it is essential to perform early diagnosis effectively to improve the success of treatment and increase survival rates. Currently, histo…
datacite
IJMSRT
2026
置信度 0.66
-
Abstract The number of people diagnosed with cancer is rising worldwide and has become a leading cause of death. Therefore, it is essential to perform early diagnosis effectively to improve the success of treatment and increase survival rates. Currently, histo…
datacite
IJMSRT
2026
置信度 0.66
-
The convergence of artificial intelligence (AI) and Buy Now, Pay Later (BNPL) services constitutes a structural transformation in electronic commerce, yet its implications for capital market valuations remain theoretically underdeveloped. This study deploys a …
datacite
Wagdi, Osama
2026
置信度 0.66
-
The convergence of artificial intelligence (AI) and Buy Now, Pay Later (BNPL) services constitutes a structural transformation in electronic commerce, yet its implications for capital market valuations remain theoretically underdeveloped. This study deploys a …
datacite
Wagdi, Osama
2026
置信度 0.66
-
Arbitrage trading exploits temporary price discrepancies across financial markets to generate low-risk profit opportunities. However, conventional arbitrage systems primarily rely on predefined rules and lack the intelligence to adapt to rapidly changing marke…
datacite
Chakraborty, Mohuya, Ghosh, Ajanta, Palit, Sudip Kumar
2026
置信度 0.66
Agentic AIArbitrage TradingStock TradingCrypto Trading
-
Arbitrage trading exploits temporary price discrepancies across financial markets to generate low-risk profit opportunities. However, conventional arbitrage systems primarily rely on predefined rules and lack the intelligence to adapt to rapidly changing marke…
datacite
Chakraborty, Mohuya, Ghosh, Ajanta, Palit, Sudip Kumar
2026
置信度 0.66
Agentic AIArbitrage TradingStock TradingCrypto Trading
-
Real-time payment systems have transformed retail and wholesale finance by compressing payment initiation, authorization, clearing, and settlement into seconds or near-real time. The same speed that improves convenience and liquidity also narrows the window in…
datacite
Vijaya Kumar*
2026
置信度 0.66
artificial intelligence; real-time payments; instant payments; machine learning; fraud detection; graph neural networks; Biblioshiny; bibliometric analysis; thematic analysis
-
Real-time payment systems have transformed retail and wholesale finance by compressing payment initiation, authorization, clearing, and settlement into seconds or near-real time. The same speed that improves convenience and liquidity also narrows the window in…
datacite
Vijaya Kumar*
2026
置信度 0.66
artificial intelligence; real-time payments; instant payments; machine learning; fraud detection; graph neural networks; Biblioshiny; bibliometric analysis; thematic analysis
-
Clinical and epidemiological research is undergoing a substantial transition shaped by multiple converging trends:generative AI and large language models transforming literature synthesis, protocol design, and clinical decision support;European Health Data Spa…
datacite
Hugo Jensen, Jonas Dubois, Eva Lindberg
2025
置信度 0.66
clinical research; epidemiology; future directions; generative AI; European Health Data Space; learning health systems; FRIES; climate health; federated analytics; patient engagement; research infrastructure; methodological innovation
-
Clinical and epidemiological research is undergoing a substantial transition shaped by multiple converging trends:generative AI and large language models transforming literature synthesis, protocol design, and clinical decision support;European Health Data Spa…
datacite
Hugo Jensen, Jonas Dubois, Eva Lindberg
2025
置信度 0.66
clinical research; epidemiology; future directions; generative AI; European Health Data Space; learning health systems; FRIES; climate health; federated analytics; patient engagement; research infrastructure; methodological innovation
-
Data Extraction Sheet for a Systematic Literature Review on Federated Learning in Medical Imaging (2025) Summary:This dataset presents a comprehensive extraction of peer-reviewed publications used in a Systematic Literature Review (SLR) focusing on the applica…
datacite
Abayomi-Alli, Adebayo Adewumi, Rocha, Artur, Abayomi-Alli, Olusola Oluwakemi, Aguiar, Ademar
2025
置信度 0.66
HealthMachine LearningDeep learningFederated LearningMultimodal Imaging
-
Data Extraction Sheet for a Systematic Literature Review on Federated Learning in Medical Imaging (2025) Summary:This dataset presents a comprehensive extraction of peer-reviewed publications used in a Systematic Literature Review (SLR) focusing on the applica…
datacite
Abayomi-Alli, Adebayo Adewumi, Rocha, Artur, Abayomi-Alli, Olusola Oluwakemi, Aguiar, Ademar
2025
置信度 0.66
HealthMachine LearningDeep learningFederated LearningMultimodal Imaging
-
Artificial Intelligence (AI) has become one of the most transformative technologies in modern cybersecurity. The rapid increase in cyber threats, ransomware attacks, phishing campaigns, and zero-day vulnerabilities has accelerated the integration of AI-driven …
datacite
Bozorov, Suhrobjon
2026
置信度 0.66
-
Artificial Intelligence (AI) has become one of the most transformative technologies in modern cybersecurity. The rapid increase in cyber threats, ransomware attacks, phishing campaigns, and zero-day vulnerabilities has accelerated the integration of AI-driven …
datacite
Bozorov, Suhrobjon
2026
置信度 0.66
-
This record provides the Multi-Layered Modelling Knowledge Graph (MLM KG), a machine-readable, semantically structured knowledge artefact that formally encodes the MLM framework, the Response Derivative (RD) concept, and associated regulatory compliance mappin…
datacite
O Regan, Brian
2026
置信度 0.66
-
This record provides the Multi-Layered Modelling Knowledge Graph (MLM KG), a machine-readable, semantically structured knowledge artefact that formally encodes the MLM framework, the Response Derivative (RD) concept, and associated regulatory compliance mappin…
datacite
O Regan, Brian
2026
置信度 0.66
-
Smart systems that rely on the cloud become unusable when the network goes down in rural and disaster vulnerable settings, thus interrupting the monitoring system as well as slowing the timely responding to emergencies. This work sought to find offline-first A…
datacite
John Rodge C. Sarait, Leen Jandy P. Mencias, Leander Rafael C. Espela, Jay Ar P. Esparcia
2026
置信度 0.66
Offline First AI ArchitecturesSmart SystemsLow ConnectivityDisaster Prone Environment
-
Smart systems that rely on the cloud become unusable when the network goes down in rural and disaster vulnerable settings, thus interrupting the monitoring system as well as slowing the timely responding to emergencies. This work sought to find offline-first A…
datacite
John Rodge C. Sarait, Leen Jandy P. Mencias, Leander Rafael C. Espela, Jay Ar P. Esparcia
2026
置信度 0.66
Offline First AI ArchitecturesSmart SystemsLow ConnectivityDisaster Prone Environment
-
Diethylene glycol (DEG) contamination of paediatric oral liquid medicines constitutes a recurrent, preventable global public health crisis. Since 2022 alone, WHO-confirmed outbreaks across The Gambia, Uzbekistan, Indonesia, and India have claimed the lives of …
datacite
Vijay Kumar Chennamchetty, Ravindra Nallagonda, Raghavendra Rao MV, Daniel Finney Sankuru 等
2026
置信度 0.66
-
Diethylene glycol (DEG) contamination of paediatric oral liquid medicines constitutes a recurrent, preventable global public health crisis. Since 2022 alone, WHO-confirmed outbreaks across The Gambia, Uzbekistan, Indonesia, and India have claimed the lives of …
datacite
Vijay Kumar Chennamchetty, Ravindra Nallagonda, Raghavendra Rao MV, Daniel Finney Sankuru 等
2026
置信度 0.66
-
The Real-World Diabetes Network Pharmacology Dataset (RDNPD 2025) is a large-scale multimodal healthcare dataset developed for diabetes severity prediction, biomedical graph-learning analysis, and federated healthcare intelligence research. The dataset contain…
datacite
TT Prama
2026
置信度 0.66
-
The Real-World Diabetes Network Pharmacology Dataset (RDNPD 2025) is a large-scale multimodal healthcare dataset developed for diabetes severity prediction, biomedical graph-learning analysis, and federated healthcare intelligence research. The dataset contain…
datacite
TT Prama
2026
置信度 0.66
-
Cancer remains one of the foremost global health burdens, claiming approximately 10 million lives annually worldwide. Conventional chemotherapy suffers from non-specific drug distribution, dose-limiting toxicities, and the emergence of multi-drug resistance. N…
datacite
Antara Ghanta*1, Santhosh P. R.2, Utsavi Vaghela3, G. K. Sarpabhushana4, Gourab Mondal5, Binaya Kumar Sethy6
2026
置信度 0.66
Artificial intelligence; machine learning; deep learning; nanoparticles; drug delivery; cancer; nanomedicine; targeted therapy; tumour microenvironment; theragnostic; pharmacokinetics; precision oncology
-
Cancer remains one of the foremost global health burdens, claiming approximately 10 million lives annually worldwide. Conventional chemotherapy suffers from non-specific drug distribution, dose-limiting toxicities, and the emergence of multi-drug resistance. N…
datacite
Antara Ghanta*1, Santhosh P. R.2, Utsavi Vaghela3, G. K. Sarpabhushana4, Gourab Mondal5, Binaya Kumar Sethy6
2026
置信度 0.66
Artificial intelligence; machine learning; deep learning; nanoparticles; drug delivery; cancer; nanomedicine; targeted therapy; tumour microenvironment; theragnostic; pharmacokinetics; precision oncology
-
Official implementation of the manuscript "FedOptiVision: Privacy-Preserving Federated Continual Learning for Multimodal Ophthalmic Diagnosis", submitted to The Visual Computer, 2025. This repository contains all code, configurations, and documentation needed …
datacite
Sobiyaa P
2026
置信度 0.66
federated learning, ophthalmic diagnosis, continual learning, differential privacy, multimodal deep learning
-
Official implementation of the manuscript "FedOptiVision: Privacy-Preserving Federated Continual Learning for Multimodal Ophthalmic Diagnosis", submitted to The Visual Computer, 2025. This repository contains all code, configurations, and documentation needed …
datacite
Sobiyaa P
2026
置信度 0.66
federated learning, ophthalmic diagnosis, continual learning, differential privacy, multimodal deep learning
-
Reproducibility artifacts for "BioMutFed+: Mutation-Driven Federated Learning for IIoT," IEEE Transactions on Mobile Computing (TMC-2025-09-2616). Two Jupyter notebooks reproduce the ten-seed Wisconsin Breast Cancer evaluation (Tables VI and VII) and the lambd…
datacite
Tallat, Raiha, Wang, Xingfu, Hawbani, Ammar, Xiaohua, Xu 等
2026
置信度 0.66
federated learningIIoTByzantine robustnessmutation-based optimizationreproducibility
-
Reproducibility artifacts for "BioMutFed+: Mutation-Driven Federated Learning for IIoT," IEEE Transactions on Mobile Computing (TMC-2025-09-2616). Two Jupyter notebooks reproduce the ten-seed Wisconsin Breast Cancer evaluation (Tables VI and VII) and the lambd…
datacite
Tallat, Raiha, Wang, Xingfu, Hawbani, Ammar, Xiaohua, Xu 等
2026
置信度 0.66
federated learningIIoTByzantine robustnessmutation-based optimizationreproducibility
-
Outlier detection in decentralized data environments is a challenging task for many machine learning implementations, particularly in settings where data cannot be shared. Recently, there have been advances in federated outlier detection, some of which are bas…
datacite
Ilić, Mihailo, Savić, Miloš, Kurbalija, Vladimir, Ivanović, Mirjana 等
2026
置信度 0.66
Machine Learning (cs.LG)FOS: Computer and information sciences
-
Canada-Wide Early Learning and Child Care (CWELCC) is one of the most consequential social-policy achievements in recent Canadian history, delivering a rapid and measurable reduction in the cost of regulated childcare for millions of families. This policy audi…
datacite
Butt, Samama, Pirouzi, Peivand
2026
置信度 0.66
early learning and childcare, CWELCC, childcare access, early childhood workforce, social policy, policy achievement
-
Canada-Wide Early Learning and Child Care (CWELCC) is one of the most consequential social-policy achievements in recent Canadian history, delivering a rapid and measurable reduction in the cost of regulated childcare for millions of families. This policy audi…
datacite
Butt, Samama, Pirouzi, Peivand
2026
置信度 0.66
early learning and childcare, CWELCC, childcare access, early childhood workforce, social policy, policy achievement
-
Federated learning (FL) is a promising solution for healthcare Artificial Intelligence (AI), striking a balance between patient privacy and the need for diverse datasets. FL enables collaborative model training across institutions, preserving confidentiality a…
datacite
Halder, Tanurima, Deo, Kunal, Nieto, Nicolás, Patil, Kaustubh R. 等
2025
置信度 0.66
-
In federated learning (FL), decentralized model training allows multi-ple participants to collaboratively improve a shared machine learning model without exchanging raw data. However, ensuring the integrity and reliability of the system is challenging due to t…
datacite
Shrestha, Ajay Kumar
2026
置信度 0.66
Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Emerging Technologies (cs.ET)FOS: Computer and information sciences
-
The large volume of data and concerns about data privacy have motivated the development of techniques for distributed data, a problem also known as federated learning. In this scenario, sub-samples of the data are divided across different machines, and statist…
datacite
Herrero, Giovanni Barbosa, Fonseca, Rodney Vasconcelos, Pinheiro, Aluísio
2026
置信度 0.66
Methodology (stat.ME)FOS: Computer and information sciences
-
[This corrects the article DOI: 10.1371/journal.pone.0322749.].
datacite
AA Chowdhury, SMH Mahmud, MD PALASH UDDIN, S Kadry 等
2026
置信度 0.66
Physical sciencesSynchrotrons and acceleratorsInformation and computing sciences
-
Privacy preserving ad targeting is a major challenge in today's digital environment. It is such an environment where the centralized platforms expose user data and provide creators with low lying compensation. Although current federated learning (FL) models he…
datacite
Shaw, Ritesh Kumar, Ahmed, Safiya, Sinha, Stuti, Chatterjee, Subhangi
2026
置信度 0.66
Blockchain incentives, Federated learning, Low-latency aggregation, Privacy-preserving advertising, Smart contract rewards, XDC Network
-
Privacy preserving ad targeting is a major challenge in today's digital environment. It is such an environment where the centralized platforms expose user data and provide creators with low lying compensation. Although current federated learning (FL) models he…
datacite
Shaw, Ritesh Kumar, Ahmed, Safiya, Sinha, Stuti, Chatterjee, Subhangi
2026
置信度 0.66
Blockchain incentives, Federated learning, Low-latency aggregation, Privacy-preserving advertising, Smart contract rewards, XDC Network
-
I have the honor of holding the position of Editor-in-Chief for the Interdisciplinary Journal of Computing & AI (IJCAI). It is with great pride and enthusiasm that I introduce the first issue of the Interdisciplinary Journal of Computing & AI (IJCAI). This ina…
datacite
Chakraborty, Dr. Mohuya
2026
置信度 0.66
-
I have the honor of holding the position of Editor-in-Chief for the Interdisciplinary Journal of Computing & AI (IJCAI). It is with great pride and enthusiasm that I introduce the first issue of the Interdisciplinary Journal of Computing & AI (IJCAI). This ina…
datacite
Chakraborty, Dr. Mohuya
2026
置信度 0.66
-
Precision nutrition and pharmacogenomics, driven by artificial intelligence (AI) technologies, are becoming an integral part of the science of precision oncology and are providing a pathway to highly personalized cancer prevention, diagnosis, and treatment. Cu…
datacite
Sadia, Khan, Hafsa, Asif, Hina, Nawab, Amna, Arif 等
2026
置信度 0.66
-
Precision nutrition and pharmacogenomics, driven by artificial intelligence (AI) technologies, are becoming an integral part of the science of precision oncology and are providing a pathway to highly personalized cancer prevention, diagnosis, and treatment. Cu…
datacite
Sadia, Khan, Hafsa, Asif, Hina, Nawab, Amna, Arif 等
2026
置信度 0.66
-
Modern networks produced enormous volumes of data which made them increasingly vulnerable to advanced cyber threats. Traditional scanning tools and standalone anomaly detection systems fell short in identifying evolving or zero day attacks. This study proposed…
datacite
Pradeep, Husain Zaidi, Sakshi Singh
2026
置信度 0.66
-
Modern networks produced enormous volumes of data which made them increasingly vulnerable to advanced cyber threats. Traditional scanning tools and standalone anomaly detection systems fell short in identifying evolving or zero day attacks. This study proposed…
datacite
Pradeep, Husain Zaidi, Sakshi Singh
2026
置信度 0.66
-
preprints
2026
置信度 0.74
-
Agriculture faces compounding pressures from food insecurity, climate change, and resource scarcity, creating urgent demand for scalable analytical tools. This PRISMA 2020-compliant systematic review synthesises 582 peer-reviewed studies on machine learning (M…
preprints
2026
置信度 0.74
-
preprints
2025
置信度 0.74
-
The explosive growth of digital healthcare data and networked Internet of Medical Things (IoMT) devices has heightened vulnerabilities inside healthcare networks, hence exposing sensitive medical systems to sophisticated cyber assaults. The safeMEDInet framewo…
europepmc
2025
置信度 0.80
-
Abstract Machine learning (ML) and artificial intelligence (AI) are no longer peripheral optimization tools for networking; they are becoming integral to how modern networks are measured, controlled, secured, and evolved. Yet the literature remains fragmented.…
preprints
2026
置信度 0.74
-
preprints
2025
置信度 0.74
-
Abstract The proliferation of Internet of Things (IoT) devices in financial markets creates unprecedented opportunities for distributed intelligence in cryptocurrency trading systems. This paper presents EdgeFL-Crypto, a novel federated split learning architec…
preprints
Mohammed M. Alenazi¹, Abrar S. Alhazmi²
2025
置信度 0.74
-
preprints
2025
置信度 0.74
-
preprints
2025
置信度 0.74
-
Artificial Intelligence (AI) holds great potential to revolutionize healthcare by integrating and analyzing diverse multi-source medical data to drive advancements in disease diagnosis, treatment strategies, and patient management. However, deploying AI in dis…
preprints
2025
置信度 0.74
-
preprints
2025
置信度 0.74
-
Abstract The dynamic and unexpected character of settings in wireless communication calls for sophisticated spectrum sensing techniques for cognitive radio networks. Building on the work of earlier ensemble machine learning approaches, this study presents a st…
preprints
M.Saraswathi, D.Lakshminarayana, P.Vaishnavidevi
2025
置信度 0.74
-
preprints
2025
置信度 0.74
-
preprints
2026
置信度 0.74
-
preprints
2026
置信度 0.74
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europepmc
2025
置信度 0.80
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2026
置信度 0.74
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Abstract IEEE 802.11bn (Wi-Fi 8) introduces Multi-AP Coordination (MAPC) to meet ultra-reliable low-latency communication (URLLC) demands in dense wireless deployments. While centralized MAC-layer scheduling improves coordination, it introduces overhead, priva…
preprints
Vijay B T
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74