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artificial neural network

GeneTech 知识引擎共收录 2223 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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• Developing a neural network machine learning interatomic potential for molecular dynamics simulations of La-Si-P systems.
  2025 · AI 驱动科学发现 · While molecular dynamics (MD) is a very useful computational method for atomistic simulations, modeling the interatomic interactions for reliable MD simulations of real materials has been a long-standing challenge. In 20…
• Web-Based Application to Predict Plant Disease Using Deep Learning for Precision Agriculture
  2026 · 智慧农业 · The current reliance on manual examination to detect diseases in plants is not effective, subjective, and too slow to deal with the high menace in the world food supply and the agricultural earnings posed by these diseas…
• Tomato Leaf Disease Detection Using InceptionV3: A CNN-Based Approach for Precision Agriculture
  2026 · 智慧农业 · Tomatoes play a vital role in agriculture, offering significant nutritional and economic support. Nonetheless, illnesses in tomato plants affect both the quality and quantity. Timely identification of this illness is ess…
• Leveraging nonlinear deep learning models for intelligent crop recommendation in precision agriculture
  2026 · 智慧农业 · Abstract For countries with developing economies, agriculture, particularly the farming and livestock business, plays an essential role in their economic growth. Agriculture is the basis of food security and supplies the…
• Interpretable AI Enabled Solutions for Crop Selections, Yield Estimation and Rainfall Analysis in Precision Agriculture
  2026 · 智慧农业 · The rapid growth of the world's population and the growing need for food security have made modern farming very difficult. Traditional farming methods often don't work well with changes in the environment, low yields and…
• A lightweight deep learning and whale optimization framework for sustainable precision agriculture
  2026 · 智慧农业 · The changing needs of the modern agriculture require smart and resource saving solutions to such problems as falling productivity, irresponsible use of inputs, and deterioration of the environment. This paper presents a …
• Revolutionising Farming with AI-Enhanced Image Processing: 6G Communication for Real-Time Crop Health Monitoring
  2026 · 智慧农业 · Remote areas have witnessed optimal solutions for challenges in traditional agriculture monitoring by integrating 6G network with Artificial Intelligence (AI). In this study a novel approach has been developed by combini…
• An Inverse-Distance Weighting Alignment-DiversityAttention Transformer for Days Ahead Particulate Matter Concentration Forecasting
  2026 · AI 安全与对齐 · Abstract An accurate forecasting of the particulate matter (PM) concentrations including PM2.5 and PM10 concentrations is vital for the publichealth and the environment management. Forecasting highly non-stationary PM ti…
• Expanding and Enhancing Neural Network-Based QM-AI Models for the Accurate Prediction of Halogen-π Interaction Energies in Protein Contexts
  2026 · AI 安全与对齐 · High Resolution Image Download MS PowerPoint Slide In this study, we extend a previously introduced QM-AI strategy for predicting halogen···π interaction energies from a single aromatic model (representing phenylalanine)…
• Automated AI-Powered Fruit Identification Using Convolutional Neural Network
  2025 · AI Agent 生态 · Clever system that can look at pictures of fruits and figure out what kind of fruit each picture shows. AI algorithms like deep learning, which is like giving the Machine learning model a crash course in fruit recognitio…
• Demo: A Real-time Multi-Agent Network Attack Detection and Incident Response System
  2025 · AI Agent 生态 · Network attacks have disrupted critical infrastructure and compromised important network operations worldwide for several decades. In spite of tremendous research outcomes based on various artificial intelligence techniq…
• MSPAt-CNN: Multi Spectral Recurrent Primal Dual Attention Based Deep Learning Model for Intrusion Detection System with Mitigation
  2025 · AI Agent 生态 · Intrusion detection systems are the majorly used tools for defending various cyber-attacks in the real time scenarios. Deep learning-based methods have achieved remarkable success for early intrusion detection, besides, …
• A Deep Learning Based Posture Correction System
  2025 · AI Agent 生态 · A computerized system developed using machine learning to monitor correct posture for an exercise being performed. The posture for exercise is important for the physical benefit of it. The system for detecting exercise i…
• Wireless sensor network using nRF24L01+ for precision agriculture
  2025 · 智慧农业 · Precision agriculture is a strategy for varying inputs and cultivation methods to suit varying soil conditions and agricultural crops. In order to optimize precision agriculture, wireless sensor network (WSN) is suitable…
• Crude protein as indicator of pasture productivity and quality: Validation of two proximal sensors
  2025 · 智慧农业 · This study evaluated two complementary proximal sensors (Rising Plate Meter, RPM and active optical sensor, AOS) to obtain a global indicator of pasture quality and productivity, the crude protein, CP (expressed in kg/ha…
• IoT-Based Precision Agriculture Using Smart Sensors and Cloud Computing for Crop Monitoring and Yield Optimization
  2025 · 智慧农业 · The Internet of Thingsbased precision agriculture system plans to deliver the finest agricultural productivity by giving real-time monitoring and therefore informed decisions based on data. Data from the different enviro…
• Precision Agriculture Enhanced by Spatio-Temporal Attention Model for Real-Time Crop Monitoring and Prediction
  2025 · 智慧农业 · Modern farming experiences revolutionary changes through precise agricultural methods that use innovative technologies for crop surveillance and harvest output estimation. The research develops a Spatio-Temporal Attentio…
• AI-Driven Soil Moisture Forecasting for Enhanced Precision Agriculture
  2025 · 智慧农业 · This paper presents the development of a machine learning model aimed at accurately forecasting soil moisture levels, a crucial aspect of precision agriculture. The model leverages data from tensiometers, devices that me…
• Smart Farming System for Plant Disease Detection using Optimized Spectral Domain Reconstruction Graph Neural Network
  2025 · 智慧农业 · The practice of cultivating the soil, growing crops and keeping livestock is referred to as farming. An essential component of a nation's economic growth is agriculture. Farming accounts for around 58 % of a nation's mai…
• Prediction of Daily Cow's Milk Yield Using IGHOA-Based Convolutional Neural Network in Smart Farming System
  2025 · 智慧农业 · Modern livestock farmers are increasingly turning to robotic milking systems (RMS) because of the financial savings they provide and the information they provide about animal health and productivity. With the use of RMS …
• Unmaking AI: A Framework for Critical Investigation
  2025 · AI 安全与对齐 · Abstract While generative AI image models are both powerful and problematic, public understanding of them is limited. In this essay, we provide a framework we call Unmaking AI for investigating and evaluating text-to-ima…
• AI modeling for outbreak prediction: A graph-neural-network approach for identifying vancomycin-resistant enterococcus carriers
  2025 · AI 安全与对齐 · The isolation of affected patients and intensified infection control measures are used to prevent nosocomial transmission of vancomycin-resistant enterococci (VRE), but early detection of VRE carriers is needed. However,…
• Attribution-based interpretable classification neural network with global and local perspectives
  2025 · AI 安全与对齐 · Neural networks are challenging to apply in domains requiring high reliability due to their black-box nature, and researchers are increasingly focusing on interpreting neural networks. While pursuing neural network perfo…
• Leveraging Machine Learning and Molecular Neural Networks to Interpret and Explain AI-Driven Prediction of Drug Efficacy
  2025 · AI 安全与对齐 · Drug discovery along with efficacy prediction through artificial intelligence (AI) requires researchers to build explainable models which offer interpretability. The introduced framework uses machine learning (ML) with m…
• Enhancing the Understandability and Interpretability of Type-II Diabetes Diagnosis Using a Deep Fuzzy Neural and XAI Approach
  2025 · AI 安全与对齐 · Deep fuzzy neural applications have been shown to be effective in improving the accuracy of type-II diabetes diagnosis. However, due to their inherent complexity, deep fuzzy neural applications are often not easy to expl…
• A total organic carbon prediction algorithm for heterogeneous shale based on interpretable neural network: a case study of Qiongzhusi Formation shale in the Sichuan Basin
  2025 · AI 安全与对齐 · Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits the applicability of…
• Comparison of intermediate-range order in GeO2 glass: Molecular dynamics using machine-learning interatomic potential vs reverse Monte Carlo fitting to experimental data.
  2024 · AI 驱动科学发现 · The short-range order and intermediate-range order in GeO2 glass are investigated by molecular dynamics using machine-learning interatomic potential trained on ab initio calculation data and compared with the revers…
• Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy Simulations.
  2024 · AI 驱动科学发现 · Machine learning interatomic potentials, particularly ones based on deep neural networks, have taken significant strides in accelerating first-principles simulations, expanding the length and time scales of the simulatio…
• Intention Recognition Algorithm for Multi-agent Systems Based on High-order Fully Actuated System Approach
  2024 · AI Agent 生态 · Intention recognition for multiple agents is an important problem in multi-agent systems (MASs), and is widely used in the field of autonomous driving, human-machine interaction and military. In order to improve the comp…
• Precision Agriculture for Indian Farms using AIOT
  2024 · 智慧农业 · This research explores the transformative potential of precision agriculture, a fusion of Artificial Intelligence (AI) and the Internet of Things (Io'T), to address the burgeoning global demand for sustainable food produ…
• Bio-Inspired Complete Coverage Path Planner for Precision Agriculture in Dynamic Environments
  2024 · 智慧农业 · This paper proposes a bio-inspired Complete Coverage Path Planner suitable for several precision agriculture tasks, such as terrain and crop mapping, inspection, and crop spraying. This grid-based method reproduces the d…
• Smart-Farming based Prevention System for Tomato Leaf Curl Disease
  2024 · 智慧农业 · To monitor real time conditions of agricultural products like tomatoes, sensor-based monitoring can be implemented using machine learning techniques. AI based management can provide optimal environmental parameters to en…
• Can machine learning models provide accurate fertilizer recommendations?
  2024 · 智慧农业 · Abstract Accurate modeling of site-specific crop yield response is key to providing farmers with accurate site-specific economically optimal input rates (EOIRs) recommendations. Many studies have demonstrated that machin…
• Smart farming based on IoT to predict conditions using machine learning
  2024 · 智慧农业 · <span>Smart farming is a type of technology that utilizes the internet of things (IoT) to provide information on agricultural and environmental conditions as well as perform automation. Some of these ecological con…
• Data-driven Smart Farming to Grade and Classify Tomatoes using CNN and FFNN for Agricultural Innovation
  2024 · 智慧农业 · Identifying images poses a challenge in computer vision, but the use of deep learning methods has greatly enhanced the performance of image classification systems. In this research, Convolutional Neural Networks (CNN) an…
• Learning‐based monocular visual‐inertial odometry with SE2(3) $S{E}_{2}(3)$‐EKF
  2024 · 智慧农业 · Abstract Learning‐based visual odometry (VO) becomes popular as it achieves a remarkable performance without manually crafted image processing and burdensome calibration. Meanwhile, the inertial navigation can provide a …
• Modeling and analysis of hysteresis using the Maxwell-slip model for variable stiffness actuators
  2024 · 智慧农业 · Hysteresis non-linearity in variable stiffness actuators (VSAs) causes significant torque errors and reduces the stability of the actuators, leading to poor human–computer interaction performance. At present, fewer hyste…
• Enhancing the mechanical properties’ performances coconut fiber and CDW composite in paver block: multiple AI techniques with a Performance analysis
  2024 · AI 安全与对齐 · The present research incorporates five AI methods to enhance and forecast the characteristics of building envelopes. In this study, Response Surface Methodology (RSM), Support Vector Machine (SVM), Gradient Boosting (GB)…
• Deep Tooth LLM: Neural Trajectory Optimization for Tooth Alignment
  2024 · AI 安全与对齐 · A orthodontic treatment simulation is normally made up of several cycles of treatment, that regularly covers for more than 12 months. Thus, the fundamental determinant in orthodontic treatment is to simulate medically re…
• Vehicle Lateral Dynamics-Inspired Hybrid Model Using Neural Network for Parameter Identification and Error Characterization
  2024 · AI 安全与对齐 · Autonomous vehicle requires a high-precision lateral dynamics model for path following and lateral stability control. However, existing physical models suffer from low accuracy due to modeling simplification and inaccura…
• Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
  2024 · AI 安全与对齐 · Deep learning techniques have proven highly effective in image classification, but their deployment in resource-constrained environments remains challenging due to high computational demands. Furthermore, their interpret…
• OmicsFootPrint: a framework to integrate and interpret multi-omics data using circular images and deep neural networks
  2024 · AI 安全与对齐 · The OmicsFootPrint framework addresses the need for advanced multi-omics data analysis methodologies by transforming data into intuitive two-dimensional circular images and facilitating the interpretation of complex dise…
• An interpretable deep learning framework for classifying neuronal morphologies using topology and graph neural networks
  2024 · AI 安全与对齐 · Abstract Neuronal shape determines how neurons process and integrate information, yet a consistent and objective classification of neuronal morphologies remains elusive. Current approaches rely heavily on subjective expe…
• Identification of gene regulatory networks associated with breast cancer patient survival using an interpretable deep neural network model
  2024 · AI 安全与对齐 · Artificial neural networks have recently gained significant attention in biomedical research. However, their utility in survival analysis still faces many challenges. In addition to designing models for high accuracy, it…
• Obtaining yield maps in orchards by tracking machine behavior
  2023 · 智慧农业 · In hand harvested citrus orchards, fruits are usually stored in big bags or containers in the fields until they are picked by a crane and loaded into a truck. Yield maps for this type of harvest are mostly based on geo-r…
• Precision Corn Pest Detection: Two-Step Transfer Learning for Beetles (Coleoptera) with MobileNet-SSD
  2023 · 智慧农业 · Using neural networks on low-power mobile systems can aid in controlling pests while preserving beneficial species for crops. However, low-power devices require simplified neural networks, which may lead to reduced perfo…
• Crop modelling based on the principle of maximum plant productivity
  2023 · 智慧农业 · The methodology based on the principle of maximum plant productivity allows to observe and model the maximum production and yields under different limiting factors divided into agroecological groups: in general, into bio…
• Assessment of laser rangefinder principles for measuring crop biomass
  2023 · 智慧农业 · Laser rangefinder sensors have been developed and proved successful in numerous industrial applications. In agricultural engineering research, tapping of the potential of laser rangefinders is only just beginning to be r…
• Latent Representation-Based Learning Controller for Pneumatic and Hydraulic Dual Actuation of Pressure-Driven Soft Actuators
  2023 · 智慧农业 · The pneumatic and hydraulic dual actuation of pressure-driven soft actuators (PSAs) is promising because of their potential to develop novel practical soft robots and expand the range of soft robot applications. However,…
• Deep learning based object detection for agricultural machinery
  2023 · 智慧农业 · Drone imagery based object supervising has become more and more widespread. In the paper the Single shot Alignment Network is used to classify and localize the objects. The images were acquired by using two types of dron…
• Image format pipeline and instrument diagram recognition method based on deep learning
  2023 · 智慧农业 · In this study, we proposed a recognition method based on deep artificial neural networks to identify various elements in pipelines and instrumentation diagrams (P&ID) in image formats, such as symbols, texts, and pipelin…
• Enhancing neural network classification using fractional-order activation functions
  2023 · AI 安全与对齐 · In this paper, a series of novel activation functions is presented, which is derived using the improved Riemann–Liouville conformable fractional derivative (RLCFD). This study investigates the use of fractional activatio…
• Research on multi-attribute attentional civil aviation entity alignment based on Siamese network
  2023 · AI 安全与对齐 · Abstract With the growth of demand for air-space integrated transportation industry, the civil aviation transportation industry plays an increasingly important role in the national economy and transportation. The diversi…
• A Bayesian Graph Neural Network for EEG Classification — A Win-Win on Performance and Interpretability
  2023 · AI 安全与对齐 · With the deepening of neuroscience research, data mining of brain signals is becoming an emerging topic. Among various brain signals, electroencephalography (EEG) has attracted more and more attention due to its advantag…
• Research Progress of Intelligent Ore Blending Model
  2023 · AI 驱动科学发现 · The iron and steel industry has made an important contribution to China’s economic development, and sinter accounts for 70–80% of the blast furnace feed charge. However, the average grade of domestic iron ore is low, and…
• NeuroPred-PLM: an interpretable and robust model for neuropeptide prediction by protein language model
  2023 · AI 驱动科学发现 · Abstract Neuropeptides are a diverse and complex class of signaling molecules that regulate a variety of biological processes. Neuropeptides provide many opportunities for the discovery of new drugs and targets for the t…
• AI for Weed Detection in Precision Agriculture
  2026 · 智慧农业 · Precision agriculture: advanced technologies are leveraged for the optimization of farming operations, the enhancement of the effectiveness of production, and the mitigation of harmful impacts on the environment In addit…
• Design of a Precision Agriculture System Integrating CNN-Based Deep Residual Learning and GLCM Texture Features for Cotton Leaf Disease Detection
  2026 · 智慧农业 · In precision agriculture, it is very important to find cotton leaf diseases early and accurately in order to keep crop yields high and the economy stable. Traditional manual inspections take a lot of time, are subjective…
• Predictive Analysis of Coconut Tree Diseases and Yield Optimization Using Random Forest in Precision Agriculture
  2026 · 智慧农业 · Coconut farming is a critical sector of the agricultural economy of most of the tropical states, where crop yields tend to be influenced by diseases, climatic and soil nutrient dearth. This is because early detection of …
• High-Precision Lung Cancer Localization Precision with Histogram Equalisation and Frequency-Domain Hybrid Attention
  2026 · 智慧农业 · Abstract The advent of deep learning algorithms, in particular Convolutional Neural Networks, has provided robust technical support for medical image processing. We propose solutions to the challenges of poor image quali…

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