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neural and evolutionary computing

GeneTech 知识引擎共收录 1265 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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代表性文献（按质量分排序，前 60 条）

• A CNN-Based Smart Farming Robot for Plant Disease Detection and Crop Management
  2026 · 智慧农业 · Agribusiness, the backbone of many countries' economy, has many challenges posed by plant diseases that may compromise the yield and quality of the produce. The disease detection approaches that have been in use are time…
• A hybrid genetic algorithm based method for smart beef farming
  2026 · 智慧农业 · To enhance cost efficiency in the cattle industry, particularly through feed formulation optimisation, we propose a novel feed encoding method that accurately and simply expresses the proportions between different feeds.…
• 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…
• Comparative Study of Plant Leaves Detection for Precision Agriculture using Machine Learning Techniques
  2025 · 智慧农业 · Crop production is an important factor in a country’s economic growth. The production of plants is greatly reduced by plant illnesses, which further decrease the quality of plants while charging farmer’s funds. The diffe…
• QDrip: a QGIS-based tool for the spatial layout and cost minimization of drip irrigation subunits
  2025 · 智慧农业 · The design of a drip irrigation subunit requires at least two steps: spatial layout and optimization of its elements. Recently, several researchers have used heuristic methods combined with hydraulic simulation programs …
• Labour Provenance as a Lens to Reveal More-Than-Human Ecologies in Biological Design and HCI
  2025 · 生物计算 · Efforts to integrate living organisms in the design of new technolo- gies are often motivated by prospects of greater sustainability and increased connection with more-than-human worlds. In this paper, we critically disc…
• Multi-target Vital Sign Detection by Fusion of Biological Radar and Convolutional Neural Network
  2025 · 生物计算 · In order to address the increasing demand for vital sign detection, the author proposes a multi-target vital sign detection research that combines biological radar and convolutional neural network. Based on the fundament…
• BioRWKV: RWKV Large Model Inspired by Biological Brain Inspired
  2025 · 生物计算 · BioRWKV aims to enhance the biological plausibility and efficiency of artificial intelligence systems by developing a novel large-scale Spiking Neural Network (SNN) architecture inspired by principles from biological neu…
• 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…
• 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…
• Shared Volume Computing: A Novel Approach for Biological AI
  2024 · 生物计算 · This work introduces a novel concept for the realization of biological artificial neural networks (ANNs), called shared volume computing (SVC). The central units in this concept are biological cells, that function as ind…
• Wet-Neuromorphic Computing: A New Paradigm for Biological Artificial Intelligence
  2024 · 生物计算 · As we delve into a life governed by AI, ongoing research continues to discover new forms of intelligence that are efficient and closely mimic an organism's brain in terms of performance. This article presents a new conce…
• Information Transfer in Neuronal Circuits: From Biological Neurons to Neuromorphic Electronics
  2024 · 生物计算 · The advent of neuromorphic electronics is increasingly revolutionizing the concept of computation. In the last decade, several studies have shown how materials, architectures, and neuromorphic devices can be leveraged to…
• 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…
• 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…
• To Assign or Not to Assign: A Metareasoning Framework for Efficient Sub-Game Computation in Multi-Agent Pursuit-Evasion Games
  2026 · AI Agent 生态 · Pursuit-evasion games can model strategic interactions between teams with conflicting objectives. Solving these problems is difficult due to the curse of dimensionality. One way to overcome this is by dividing the game i…
• Multi-Agent Cooperative Pursuit Algorithm for UGVs Based on MASAC
  2025 · AI Agent 生态 · This study investigates the multi-agent cooperative pursuit problem in complex environments. We overcome traditional algorithm constraints in state information exchange and exploration through decoupled reward function d…
• Artifical neural network model for rainfall-runoff relationship
  2025 · AI 安全与对齐 · Artificial neural networks (ANNs) have emerged as an alternative approach in modeling the runoff process in which the explicit form of the relationship between the variables involved is unknown. This thesis focuses on th…
• Improving the Interpretability of Artificial Neural Networks Using the Example of the Pricing Options Problems
  2025 · AI 安全与对齐 · Abstract In this paper, we demonstrate how to improve the interpretability of neural networks using standard problems of computational finance as an example. In our first approach, we justify that a feedforward neural ne…
• A Review of Biological Neurons Versus Artificial Neuron Models for Neuromorphic Computing Applications
  2025 · 生物计算 · A neuron, or nerve cell, is an electrically sensitive cell that communicates with different cells through specific associations known as neurotransmitters. Aside from wipes and placozoa, this is the principal segment of …
• Molecular dynamics simulation of metallic Al-Ce liquids using a neural network machine learning interatomic potential.
  2021 · AI 驱动科学发现 · Al-rich Al–Ce alloys have the possibility of replacing heavier steel and cast irons for use in high-temperature applications. Knowledge about the structures and properties of Al–Ce alloys at the liquid state is vital for…
• Construction of Surface Water Pollution Prediction Model Based on Machine Learning
  2022 · AI 驱动科学发现 · Existing prediction models have low prediction accuracy for surface water pollution with many influencing factors. Taking algal bloom prediction as the entry point of surface water pollution research, LASSO-LARS algorith…
• Robust and scalable uncertainty estimation with conformal prediction for machine-learned interatomic potentials
  2022 · AI 驱动科学发现 · Abstract Uncertainty quantification (UQ) is important to machine learning (ML) force fields to assess the level of confidence during prediction, as ML models are not inherently physical and can therefore yield catastroph…
• Identifying competition phenotypes in synthetic biochemical circuits
  2022 · 生物计算 · Abstract Synthetic gene circuits require cellular resources, which are often limited. This leads to competition for resources by different genes, which alter a synthetic genetic circuit’s behavior. However, the manner in…
• From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
  2021 · AI 安全与对齐 · Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs (Knowledge Graphs), which is a crucial step for integrating KGs. Recently, many GNN-based EA methods are proposed and show…
• An Innovative Air Purification Method and Neural Network Algorithm Applied to Urban Streets
  2021 · AI 安全与对齐 · In the present work, multiphysics modeling was used to investigate the feasibility of a photocatalysis-based outdoor air purifying solution that could be used in high polluted streets, especially street canyons. The arti…
• CM-Net: a point cloud upsampling network based on adversarial neural network
  2021 · AI 安全与对齐 · In the real-life application scenarios, the collected point clouds are often sparse, noisy and non-uniform, especially if the application is unable to capture the local spatial layout due to the lack of points. Thus, poi…
• Genetic Algorithm (GA) and Internal Energy Transfer Calculations Using Neural Network (NN) Methods
  2020 · AI 安全与对齐 · Genetic algorithms (GA), like NNs, can be used to fit highly nonlinear functional forms, such as empirical interatomic potentials from a large ensemble of data. Briefly, a genetic algorithm uses a stochastic global searc…
• Signed Safety Field Reinforcement Learning with Multi-agent System in Competitive and Cooperative Environments
  2024 · AI Agent 生态 · Through mean-field optimization, mean-field reinforcement learning provides an applicable method for the environment of many agents. However, mean-field reinforcement learning uses only the mean action of the population …
• Proximal Policy Optimization with Entropy Regularization
  2024 · 智慧农业 · This study provides a revision to the Proximal Policy Optimization (PPO) algorithm, primarily aimed at improving the stability of PPO during the training process while maintaining a balance between exploration and exploi…
• Multilayer biological network alignment based on similarity computation via Graph Neural Networks
  2024 · AI 安全与对齐 · Multilayer networks prove highly effective in scenarios where objects of different entities require a heterogeneity of types of interaction. Briefly, a multilayer network consists of nodes, edges, and layers, whose meani…
• Image Compression Using Back Propagation Neural Network
  2024 · AI 安全与对齐 · Image compression technique is used to reduce the number of bits required in representing image, which helps to reduce the storage space and transmission cost. In the present research work back propagation neural network…
• Neural Network Architectures for Simulating Time-Varying Room Acoustics
  2024 · AI 驱动科学发现 · The application of neural networks to learning physical systems has seen tremendous growth. This is due in part to the ability of neural networks to act as finite or even infinite dimension solution operators. One recent…
• Automated weed detection in winter wheat by using artificial neural networks
  2023 · 智慧农业 · A weed detection system was developed that consisted of artificial neural networks. A CCD camera acquired digital colour images of weeds. To recognize weeds more effectively than by discriminant analysis, an artificial n…
• Precision Agriculture Using Soil Sensor Driven Machine Learning for Smart Strawberry Production
  2023 · 智慧农业 · Ubiquitous sensor networks collecting real-time data have been adopted in many industrial settings. This paper describes the second stage of an end-to-end system integrating modern hardware and software tools for precise…
• ELECTRICITY PRICE FORECASTING USING A CONVOLUTIONAL NEURAL NETWORK
  2023 · AI 安全与对齐 · Many methods have been used to forecast real-time electricity prices in various regions around the world. The problem is difficult because of market volatility affected by a wide range of exogenous variables from weather…
• DNA Reservoir Computing: A Novel Molecular Computing Approach
  2013 · 生物计算 · We propose a novel molecular computing approach based on reservoir computing. In reservoir computing, a dynamical core, called a reservoir, is perturbed with an external input signal while a readout layer maps the reserv…
• Backpropagation Neural Network as Earthquake Early Warning Tool using a new Elementary Modified Levenberg–Marquardt Algorithm to minimise Backpropagation Errors
  2018 · AI 安全与对齐 · Abstract. A new Elementary Modified Levenberg–Marquardt Algorithm (M-LMA) was used to minimise backpropagation errors in training a backpropagation neural network (BPNN) to predict the records related to the Chi-Chi eart…
• Design of low cost portable DAQ unit for Microbial fuel cells
  2018 · 生物计算 · In this paper we have developed a low cost portable voltage measurement and data logging system so as to incorporate it applications where voltage measurement is essential and in which the measured value must be saved. T…
• Autonomous Pareto Front Scanning using an Adaptive Multi-Agent System for Multidisciplinary Optimization
  2015 · AI Agent 生态 · Multidisciplinary Design Optimization (MDO) problems can have a unique objective or be multi-objective.In this paper, we are interested in MDO problems having at least two conflicting objectives.This characteristic ensur…
• Image processing for smart farming: Detection of disease and fruit grading
  2014 · 智慧农业 · Due to the increasing demand in the agricultural industry, the need to effectively grow a plant and increase its yield is very important. In order to do so, it is important to monitor the plant during its growth period, …
• Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design
  2012 · 生物计算 · In this letter, we use the firing rates from an array of olfactory sensory neurons (OSNs) of the fruit fly, Drosophila melanogaster, to train an artificial neural network (ANN) to distinguish different chemical classes o…
• Parallel Biological Sequence Comparison on Heterogeneous High Performance Computing Platforms with BSP++
  2011 · 生物计算 · Biological Sequence Comparison is an important operation in Bioinformatics that is often used to relate organisms. Smith and Waterman proposed an exact algorithm (SW) that compares two sequences in quadratic time and spa…
• Improved neural network for checking the stability of multidimensional systems
  2010 · AI 安全与对齐 · In this paper, the author's previous work is extended and a new neural network is utilized to solve the stability problem of multidimensional systems. In the original authors work the problem is transformed into an optim…
• Intrusion Detection System using Self Organizing Maps
  2009 · AI Agent 生态 · With the rapid expansion of computer usage and computer network the security of the computer system has became very important. Every day new kind of attacks are being faced by industries. Many methods have been proposed …
• Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem
  2008 · AI 安全与对齐 · A multilayer neural network based on multi-valued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time this network has a number of specific properties and advantages. Its bac…
• Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve
  2006 · AI 安全与对齐 · A large portion of South Africa's elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional de…
• Analysis of neural coding through quantization with an information-based distortion measure
  2003 · AI 安全与对齐 · We discuss an analytical approach through which the neural symbols and corresponding stimulus space of a neuron or neural ensemble can be discovered simultaneously and quantitatively, making few assumptions about the nat…
• Exploiting network redundancy for low-cost neural network realizations
  2002 · AI 安全与对齐 · A method is presented to optimize a trained neural network for physical realization styles. Target architectures are embedded microcontrollers or standard cell based ASIC designs. The approach exploits the redundancy in …
• Toward global interpretability of neural networks via Boolean transformation.
  2026 · AI 安全与对齐 · Interpretability remains a central challenge in the deployment of deep neural networks, particularly in safety-critical and decision-sensitive fields. This work proposes a unified framework for post-hoc global interpreta…
• Interpretable Self-Attention Dynamic Inner Neural Network Model for Nonlinear Dynamic Process Monitoring.
  2026 · AI 安全与对齐 · Nonlinearity and dynamics are important issues in industrial process monitoring. The dynamic relationships between samples are often embedded in the latent variable space and are usually nonlinear. The fitting of nonline…
• The illusion of interpretability in biologically informed neural networks
  2026 · AI 安全与对齐 · Biologically informed neural networks (BINNs), also known as visible neural networks (VNNs), are widely adopted in omics because their architectures mirror known biological structures, such as gene-to-pathway relationshi…
• Neural network pruning and simultaneous feature and structure selection.
  2026 · AI 安全与对齐 · Neural network pruning makes large neural networks more portable and smaller neural networks more interpretable with minimal loss of predictive accuracy. We propose a pruning method that reformulates the neural-network L…
• GVA-BLS: Gaussian Vector Autoregression Broad Learning System Based on Randomly Distributed Embedding for Multistep-Ahead Prediction.
  2026 · AI 驱动科学发现 · As a model proficient in time series prediction, the recurrent broad learning system (RBLS) combines the advantages of traditional BLS and recurrent neural networks (RNNs). This combination enhances the learning of trans…
• Functionalized Biomimetic Scaffolds for Human-Derived Auditory Neural Circuit Construction.
  2026 · AI 驱动科学发现 · Damage to auditory circuits results in sensorineural hearing loss. However, the scarcity of human inner ear tissue significantly hinders the development of therapies to preserve auditory function, creating a critical nee…
• Compact Kernel/Neural Network Representation for Accurate, Fast, and Global Reactive Molecular Potential Energy Surfaces.
  2026 · AI 驱动科学发现 · Atomistic simulations are a powerful tool for studying the dynamics of molecules, proteins, and materials on wide time and length scales. Their reliability and predictive power depend directly on the accuracy of the unde…
• On artificial crystal structure generation for solving the phase problem with deep learning.
  2026 · AI 驱动科学发现 · We discuss and present approaches for generating artificial crystal structures for training neural networks to solve the phase problem. Structure generation is considered as a two-step process involving sampling unit-cel…
• Programmable DNA-Based Molecular Reservoir Biocomputing Network Circuits with Emerging Biomemristors for Solving Complex Nonlinear Problems.
  2026 · 生物计算 · Biomolecular reservoir computing, despite its potential for nontraditional information processing, encounters difficulties in realizing intricate nonlinear dynamics within biochemical systems. This research proposes a bi…
• Low Power HfOx/TaOx stacked memristors with nanocolumn electrode for neuromorphic computing.
  2026 · 生物计算 · Emulating biological synaptic behavior using the resistive random access memory (RRAM) is promising for neuromorphic applications. A stacked HfOx/TaOx RRAM model with nanocolumn electrode for low-power neuromorphic compu…

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