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Entrepreneurship is changing like never before with the innovation of technology and data-driven methods in the digital world. All these emerging technologies – artificial intelligence (AI) is one of the differentiating tools enable businesspersons to study th…
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AI’s most important driver is the Knowledge Explosion resulting from the internet. There is an increasing demand for AI with better cognitive functions to assist human endeavors, such as scientific discovery and analysis of massive data sets that cannot be int…
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Botlagunta Preethish Nandan
2025-05-16T09:18:46Z
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Abstract Seasonal precipitation variability is among the most consequential aspects of weather and climate, affecting society and regional economies over contiguous United States (CONUS) and around the globe. Better understanding of precipitation predictabilit…
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2026-04-21T16:31:35Z
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Abstract Deploying high-accuracy deep learning models for bolt defect detection onresource-constrained edge devices at communication tower sites faces afundamental accuracy-efficiency trade-off: cloud-side models deliver reliable detection but incur prohibitiv…
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The Ubiquitous Power Internet of Things (UPIoT) is a deep integration of the interconnected power network and communication network, enabling full perception of the system status and business operations for power production, transmission, and consumption. To a…
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Artificial intelligence (AI) is reshaping work and human resource management, yet existing reviews largely treat competencies as secondary outcomes of AI adoption and offer limited theory-driven integration of how competency management itself is transforming. …
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While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing stude…
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The integration of artificial intelligence (AI) and machine learning (ML) into healthcare systems represents a paradigm shift in modern medicine. This chapter provides a comprehensive examination of the foundational elements underpinning AI and ML applications…
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The rapid advancement of Artificial Intelligence (AI) has transformed the educational landscape by reshaping how knowledge is delivered, processed, and assessed. This study investigates the relationship between AI adoption and learning effectiveness, focusing …
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In recent times, Artificial Intelligence (AI) is increasingly influencing financial decision-making and sustainability measures in business organizations.The current study explores the impact of AI adoption on sustainable financial decision-making in Micro Sma…
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This chapter examines the public legitimacy of artificial intelligence governance (AIG) by synthesising the existing comparative, survey-based literature. We conceptualise legitimacy sociologically, encompassing the input, throughput, and output dimensions of …
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Rural carbon emissions from home energy usage, animal behaviour, and agricultural practices have a major impact on climate change. To precisely anticipate and control rural carbon emissions and support sustainable rural development, the project attempts to cre…
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2026-03-12T05:26:44Z
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Swarm AI enables decentralized, self-organizing medical systems to produce collective solutions without central control. In these systems, multiple intelligent agents follow simple predefined rules, communicate with nearby agents, and respond to local environm…
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Convolutional encoders are widely used in modern artificial intelligence systems to transform structured inputs into compact representations that are subsequently processed by pooling, flattening, and training-based classification layers. Despite their empiric…
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Huseyin Cekirge
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Artificial Intelligence has been touted as a technology that would significantly contribute to the rule of law and the achievement of Sustainable Development Goals, such as SDG 16. AI-based systems are presented as doing away with the messiness and inconsisten…
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Healthcare is considered one of the most promising application areas for artificial intelligence (AI) and analytics. AI is ushering into a new era in healthcare and is revolutionizing the industry in numerous ways, from improving diagnostics to optimizing pati…
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The exponential proliferation of Internet of Things (IoT) devices, autonomous systems, and latency-sensitive applications has exposed the structural limitations of the conventional cloud-centric computing paradigm, in which raw data is transmitted to distant d…
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Autism spectrum disorder (ASD) is a neurological condition that notably impedes the mental development of affected individuals. Screening for autism has evolved through various stages over the years, transitioning from traditional questionnaires and tests to a…
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Climate change should be perceived and interpreted as a strategic factor multiplying various types of hazards that amplifies existing trends and tendencies, tensions and situations of instability around the world. Climate change is a highly problematic issue t…
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This study presents a development strategy for cultural heritage, it is imperative to leverage additive manufacturing and other digital intelligent technologies to provide breakthroughs in the inheritance of traditional craftsmanship. This study aims to utiliz…
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<p dir="ltr">In current deep learning architectures, each of the deeper layers in networks tends to contain hundreds of unorganized neurons, which makes it hard for humans to understand how they interact with each other. Research in Explainable Artificia…
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This chapter examines the relationship between artificial intelligence (AI), technical standards and patents. It first considers how standards may operationalise requirements for trustworthy AI, especially under the EU AI Act. It considers the limits of indust…
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The escalating sophistication of cyber threats-ranging from polymorphic malware to advanced persistent threats (APTs)-has rendered traditional signature-based intrusion detection systems (IDS) increasingly inadequate. This article examines the transformative p…
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<p>Artificial intelligence is one of the must disruptive innovations in human history. The key change is in the cost of information processing. It drops dramatically. Along with this change, ever more granular data is available, including from the intera…
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Artificial intelligence (AI) is currently transforming the polymer lifecycle, from materials discovery and design to manufacturing and recycling processes. In this review, we will discuss the undergoing paradigm shift from conventional labor-intensive processe…
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<p dir="ltr">CAPTCHA, an acronym for Completely Automated Public Turing to Tell Computers and Humans Apart, is an online challenge-response tool used to deflect automated bots from obtaining access to online materials. For individuals with disabilities, …
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Artificial intelligence is likely among the most powerful technologies yet available for im- <br> proving the efficiency, reach, and utility of scientific research. Its scientific importance <br> extends beyond faster execution of predetermined tas…
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Artificial intelligence (AI) technology in healthcare has the potential to reach mass targets by providing rapid and free-cost services. The paper tries to reveal determinant factors on AI acceptance using the extended Technology Acceptance Model and testing c…
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Large language models (LLMs) are increasingly deployed for multilingual information retrieval and reasoning over very long documents, yet they often struggle with extracting dispersed facts and synthesizing robust answers across linguistic boundaries. In this …
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