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computer vision and pattern recognition

GeneTech 知识引擎共收录 1159 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）

• Hearing Brightness
  2026 · AI Agent 生态 · Abstract Orchestration can have undeniable effects on what listeners hear as changes in auditory brightness. But the precise source of our sensation of brightness in orchestral music is difficult to pinpoint. What is the…
• IoT-Based Precision Irrigation System for Real-time Calculation of VPD, ETo and Crop Water Requirements in Sustainable Agriculture
  2026 · 智慧农业 · This work develops an IoT-based precision irrigation platform for papaya (Carica papaya L., ‘Holland’ variety) in Eastern Thailand where coastal influences and heterogeneous canopies create strong microclimatic gradients…
• A TinyMLOps Pipeline for Coarse-Grained Plant Disease Classification in Precision Agriculture.
  2026 · 智慧农业 · Identifying plant health conditions is an emerging precision-agriculture and food-security challenge, intensified by deploying deep-learning models on memory- and power-constrained edge devices. We present a TinyMLOps pi…
• A Comprehensive Precision Agriculture Framework: Automated Plant Disease Identification and Categorization Through Cutting Edge Deep Learning Frameworks
  2026 · 智慧农业 · The outbreak of plant diseases represents one of the greatest menaces to the world agricultural productivity resulting in a global loss of crops that is estimated at 20-40 per annum. The conventional detection techniques…
• Smart Next-Gen Approach in Precision Agriculture Using XGBoost-Based Federated Learning for Crop Prediction
  2026 · 智慧农业 · In India, a significant portion of the population continues to rely on agriculture as their primary source of livelihood. As an agri-rich nation, India is increasingly promoting technology-driven smart farming practices …
• CCRA: Optimizing Vision-Language Consistency via Cross-Layer Regional Attention Alignment
  2026 · AI 安全与对齐 · Vision--language models (VLMs) often suffer from insufficient coordination of cross-attention signals across layers and image patches, leading to degraded vision--language alignment, attention drift, and suboptimal conve…
• NucleiSky enables cross-scale multimodal registration of microscopy data using nuclei constellations.
  2026 · AI 驱动科学发现 · Integrating tissue-level organisation with sub-cellular resolution and molecular information often requires combining multiple microscopy modalities and scales. However, aligning images acquired with different modalities…
• Rising-Stars-by-Sunshine/DiscoverKunshan: Discover Kunshan v1.0.0 — Bilingual Cultural Map Interface
  2026 · AI 驱动科学发现 · 🥢 Discover Kunshan — Interactive Cultural Food Map Companion release to: Zhao et al., "Culturally-Aware AI for Cross-Boundary Community Learning" (CATS 2026) What's Included Interactive bilingual (Chinese/English) cultu…
• Rising-Stars-by-Sunshine/DiscoverKunshan: Discover Kunshan v1.0.0 — Bilingual Cultural Map Interface
  2026 · AI 驱动科学发现 · 🥢 Discover Kunshan — Interactive Cultural Food Map Companion release to: Zhao et al., "Culturally-Aware AI for Cross-Boundary Community Learning" (CATS 2026) What's Included Interactive bilingual (Chinese/English) cultu…
• Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations
  2026 · AI 驱动科学发现 · $\rm{SO}(3)$-equivariant networks are the dominant models for machine learning interatomic potentials (MLIPs). The key operation of such networks is the Clebsch-Gordan (CG) tensor product, which is computationally expens…
• Probabilistic Modeling of Lateritic Nickel Mineral Resources
  2026 · 地外矿物 · Lateritic nickel deposits exhibit complex weathering-driven geometries, strong vertical variability, and complex multivariate geochemical relationships. These characteristics challenge conventional deterministic resource…
• Efficient Waste Classification in Recycling Systems Using Contrast and Attention Enhanced Deep Learning
  2026 · 医疗人工智能 · This repository contains the source code, trained models, and implementation details corresponding to the study “Efficient Waste Classification in Recycling Systems Using Contrast and Attention Enhanced Deep Learning.” I…
• Efficient Waste Classification in Recycling Systems Using Contrast and Attention Enhanced Deep Learning
  2026 · 医疗人工智能 · This repository contains the source code, trained models, and implementation details corresponding to the study “Efficient Waste Classification in Recycling Systems Using Contrast and Attention Enhanced Deep Learning.” I…
• An active laser-camera scanning system for precision fruit localization in robotic harvesting
  2025 · 智慧农业 · An active laser-camera scanner (ALACS), mainly consisting of a red line laser, an RGB camera, and a linear motion slide, was designed for robust and precision fruit localization. A dynamic-targeting laser-triangulation m…
• Factors influencing random forest soil volumetric water content predictions within a turfgrass field
  2025 · 智慧农业 · Irrigation of turfgrass in semi-arid regions consumes much freshwater and up to 50% of applications are wasted through spatial and temporal mis-applications. More efficient spatial applications are possible with valve-in…
• Mini Drone-Based Precision Agriculture for Indonesian MSMEs: A Low-Cost AI-Assisted Monitoring System
  2025 · 智慧农业 · This research introduces a cost-effective drone-based agricultural monitoring system targeted at Indonesia’s smallholder farming enterprises (MSMEs). By leveraging mini drones (DJI Mini 2 SE) and lightweight AI models, f…
• Comparing a camera-AI-controlled inter- and intrarow weeding system with a camera-guided inter-row hoe
  2025 · 智慧农业 · A camera-AI-controlled inter and intrarow weeder (AI-weeder) and a camera-guided inter-row hoe (guided hoe) were compared on two field experiments, during the growing seasons 2022 and 2023. Both systems demonstrated acce…
• The Rosario dataset v2: Multi-modal dataset for agricultural robotics
  2025 · 智慧农业 · We present a multi-modal dataset collected in a soybean crop field, comprising over 2 hours of recorded data from sensors such as stereo infrared camera, color camera, accelerometer, gyroscope, magnetometer, GNSS (Single…
• 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…
• A Large Scale Molecular Hessian Database for Optimizing Reactive Machine Learning Interatomic Potentials.
  2025 · AI 驱动科学发现 · Abstract Transition-state (TS) characterization underpins reaction modeling but conventional DFT is costly. Machine-learning interatomic potentials (MLIPs) promise quantum-level accuracy at lower cost, yet, lacking large…
• Attention-Based MIL for Medical Malpractice Prediction
  2025 · 医疗人工智能 · Medical malpractice prediction is challenging due to the weakly labeled, heterogeneous, and multi-instance structure of claims data. We introduce Deep Attention MIL (DAMIL), an attention-based Multiple Instance Learning …
• Error propagation in agricultural models
  2024 · 智慧农业 · Spatially distributed agricultural models rely for their operation on a number of value surfaces representing their various input parameters. Each of these surfaces will contain some error, due in part to the sampling an…
• Semantic Alignment Network For Building Extraction From Remote Sensing Images
  2024 · AI 安全与对齐 · Recently, the Vision Transformer (ViT) becomes a promising model for building extraction from remote sensing images. However, most of these methods ignore the misalignment issue caused by the semantic inconsistency betwe…
• Dual-Color Granularity Alignment for Text-Based Person Search
  2024 · AI 安全与对齐 · Text-based Person Search (TBPS) aims to retrieve the person images based on the given text descriptions. Due to the heterogeneity between modalities and the fine granularity of the person, it is challenging to address th…
• A Genetic Algorithm Trained Machine-Learned Interatomic Potential for the Silicon–Carbon System
  2024 · AI 驱动科学发现 · A linear regression-based machine learned interatomic potential (MLIP) was developed for the silicon–carbon system. The MLIP was predominantly trained on structures discovered through a genetic algorithm, encompassing th…
• Augmented reality presentation system of skeleton image based on biomedical features
  2024 · 仿生智能 · Abstract Aimed at limitations in the description and expression of three-dimensional (3D) physical information in two-dimentsional (2D) medical images, feature extraction and matching method based on the biomedical chara…
• Vahagn: VisuAl Haptic Attention Gate Net for slip detection
  2024 · 仿生智能 · Introduction Slip detection is crucial for achieving stable grasping and subsequent operational tasks. A grasp action is a continuous process that requires information from multiple sources. The success of a specific gra…
• Dynamic event-based optical identification and communication.
  2024 · 仿生智能 · Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal pattern recognition, depending on the technology, involves a trade-off between communication frequency, …
• Mining local and global spatiotemporal features for tactile object recognition
  2024 · 仿生智能 · The tactile object recognition (TOR) is highly important for environmental perception of robots. The previous works usually utilize single scale convolution which cannot simultaneously extract local and global spatiotemp…
• 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…
• Development and field performance evaluation of hole-fertilizing planter and dynamic alignment control system for precision planting of corn
  2023 · 智慧农业 · The hole fertilization is an effective means of saving fertilizer and increasing yields by applying the fertilizer needed for crop growth to a certain area below the seed during the seed fertilizing stage. In response to…
• Cassava detection under real field conditions using YOLOv5
  2023 · 智慧农业 · Plant detection is a critical step in many farm-management tasks. Many object detection models lack robustness for plant detection in real field conditions. Two versions of the deep learning-based YOLOv5 models – YOLOv5n…
• 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…
• Expert teacher based on foundation image segmentation model for object detection in aerial images
  2023 · AI 驱动科学发现 · Abstract Despite the remarkable progress of general object detection, the lack of labeled aerial images limits the robustness and generalization of the detector. Teacher–student learning is a feasible solution on natural…
• Determining Student's Engagement in Synchronous Online Classes Using Deep Learning (Compute Vision) and Machine Learning
  2023 · 医疗人工智能 · In 2020 Scaled-YOLOv4 was introduced. It is one of the best object detection models outclassing its peers in MS COCO test-dev. In this study, the proponents used Scaled-YOLOv4 as their object detection model. The model w…
• Method of gaze extraction in bionic vision
  2023 · 仿生智能 · Aiming at the low efficiency of information processing in a robot vision system, our work studies how to extract fixed points during tasks so that significant and interesting target areas in the scene can be located. Fir…
• Rethinking 1D convolution for lightweight semantic segmentation
  2023 · 仿生智能 · Lightweight semantic segmentation promotes the application of semantic segmentation in tiny devices. The existing lightweight semantic segmentation network (LSNet) has the problems of low precision and a large number of …
• Research on steel rail surface defects detection based on improved YOLOv4 network
  2023 · 仿生智能 · Introduction The surface images of steel rails are extremely difficult to detect and recognize due to the presence of interference such as light changes and texture background clutter during the acquisition process. Meth…
• BASIC PRINCIPLES OF MULTI-AGENT SYSTEM DESIGN
  2026 · AI Agent 生态 · БАЗОВЫЕ ПРИНЦИПЫ ПРОЕКТИРОВАНИЯ МНОГОАГЕНТНЫХ СИСТЕМ Шерстнева Светлана Владиславовна магистрант ФГАОУ ВО «Томский политехнический университет» Шерстнева Алена Владиславовна Аннотация: Приведено отличие многоагентных сис…
• GRA-X: Unified General Resonance Architecture
  2026 · AI Agent 生态 · **GRA-X** is a research platform for Semantic AI based on the principles of *nullification*, *resonance*, *hierarchical stability*, and *collective intelligence*. It unifies all previous GRA repositories into a single mo…
• GRA-X: Unified General Resonance Architecture
  2026 · AI Agent 生态 · **GRA-X** is a research platform for Semantic AI based on the principles of *nullification*, *resonance*, *hierarchical stability*, and *collective intelligence*. It unifies all previous GRA repositories into a single mo…
• Human Injury Severity Identification Question-Answering Method Based on Multi-Agent System
  2026 · AI Agent 生态 · Human injury severity often raises controversies that rely on the interpretation of expert witness with special knowledge, which has been relieved by question-answering systems based on LLMs. However, AI hallucination an…
• Decoy: Multi-Agent Environment for Hidden-Role Strategic Learning
  2026 · AI Agent 生态 · Decoy is a compact multi-agent environment for studying hidden-role strategic learning under asymmetric information and noisy financial observations. Four agents interact in a general-sum game combining partial observabi…
• Efficient Crop Discrimination via Spatial Fuzzy Bounded k-plane Clustering and Dual-Channel Temporal Graph Diffusion in Precision Agriculture
  2026 · 智慧农业 · Accurate crop discrimination using SAR and SAR–optical fusion remains challenging due to temporal variability, sensor noise, atmospheric interference, and limitations in integrating heterogeneous data sources. To address…
• Orthomosaic Tiling for YOLO Training: An R Script for Deep Learning Image Preparation
  2026 · 智慧农业 · This R script automates the tiling of large orthomosaics (GeoTIFF files) into fixed‑size image patches for preparing datasets to train neural networks, such as YOLO (You Only Look Once). The script reads the orthomosaic …
• Orthomosaic Tiling for YOLO Training: An R Script for Deep Learning Image Preparation
  2026 · 智慧农业 · This R script automates the tiling of large orthomosaics (GeoTIFF files) into fixed‑size image patches for preparing datasets to train neural networks, such as YOLO (You Only Look Once). The script reads the orthomosaic …
• yedukondalu8919/YieldFusionAI: YieldFusionAI v1.0.0 – Initial Public Release
  2026 · 智慧农业 · YieldFusionAI v1.0.0 Initial public release of YieldFusionAI: An Explainable Multi-Season Spatio-Temporal Deep Learning Framework for Accurate Crop Yield Forecasting. Features Multi-season crop yield forecasting using Se…
• yedukondalu8919/YieldFusionAI: YieldFusionAI v1.0.0 – Initial Public Release
  2026 · 智慧农业 · YieldFusionAI v1.0.0 Initial public release of YieldFusionAI: An Explainable Multi-Season Spatio-Temporal Deep Learning Framework for Accurate Crop Yield Forecasting. Features Multi-season crop yield forecasting using Se…
• Integrating AI with hexacopter UAVs for precision agriculture: Current applications and future outlook
  2026 · 智慧农业 · The integration of AI with hexacopter-based UAVs enables high-resolution crop imaging and automated mapping. This study proposes a Hybrid AE–ViT framework, optimized using CoatiOA, for UAV-based crop health classificatio…
• "Unlabeled Chili Plant Image Dataset at Early Growth Stages for Smart Agriculture Research"
  2026 · 智慧农业 · "This dataset presents a collection of real-world images of chili plants captured during their early growth stages, primarily spanning the vegetative phase to the initial flowering stage. Notably, the dataset does not in…
• Machine learning interatomic potential enhanced thermochemistry predictions across organic compound space
  2026 · AI 驱动科学发现 · This work presents thermoMLIP, a machine-learning-interatomic-potential-based workflow for efficient conformer optimization and thermochemistry prediction across organic molecules. By combining MLIP-driven geometry optim…
• Pauli Charges Improve the Training of Machine-Learned Interatomic Potentials
  2026 · AI 驱动科学发现 · Despite the utility of machine-learned interatomic potentials (MLIPs), they can be difficult to train and use due to a lack of well-defined methods to assess their accuracy. This problem can be mitigated by combining tra…
• Beyond Containment The Future of Human Labor in the Era of AGI v4.2
  2026 · 仿生智能 · Abstract: The advent of Artificial General Intelligence (AGI) is often interpreted as a threat to the relevance of human labor. However, by applying the formalism of Geometric Containment and the postulates of the Impond…
• Beyond Containment The Future of Human Labor in the Era of AGI v4.2
  2026 · 仿生智能 · Abstract: The advent of Artificial General Intelligence (AGI) is often interpreted as a threat to the relevance of human labor. However, by applying the formalism of Geometric Containment and the postulates of the Impond…
• Beyond Containment The Future of Human Labor in the Era of AGI v4.1
  2026 · 仿生智能 · Abstract: The advent of Artificial General Intelligence (AGI) is often interpreted as a threat to the relevance of human labor. However, by applying the formalism of Geometric Containment and the postulates of the Impond…
• A Role-Aware Multi-Agent Framework for Financial Education QA
  2025 · AI Agent 生态 · Question answering (QA) plays a central role in financial education, yet existing large language model (LLM) approaches often fail to capture the nuanced and specialized reasoning required for financial problem-solving. …
• A Study on an Explainable GPT-Based Stock Investment Analysis System : Integrated Design of RAG Structure and Multi-AI Agent Framework
  2025 · AI Agent 生态 · 본 연구는 ChatGPT-4o, 역할 기반 멀티 AI(Artificial Intelligence, 인공지능) 에이전트, RAG(Retrieval- Augmented Generation, 검색기반 증강생성) 구조를 결합한 주식 투자 분석 자동화 시스템을 구현하였다. 재무ㆍ비재무 데이터, 뉴스 감성, 산업 경쟁력, ESG(Environmental, Social, and Governance) 정보…
• Performance evaluation of open precision farming of snap melon in summer paddy fallows
  2025 · 智慧农业 · Snap melon is commonly cultivated in summer paddy fallows and river basins during the months November to March in Kerala. Farmers get yield of 15-18MT/ ha in traditional farming during a period of 70-80 days. Higher labo…
• Enhancing positional accuracy of airborne hyperspectral imagery with concurrent RGB images
  2025 · 智慧农业 · Geometric distortions in airborne hyperspectral imagery directly affect crop parameter estimation and health assessment in precision agriculture. This study evaluated and enhanced the positional accuracy of orthorectifie…
• Deep Learning based Weed Detection and Classification for Smart Farming
  2025 · 智慧农业 · Weeds are unwanted plants that might compete with crops and have a negative effect on agricultural productivity. Conventional weed control methods relied heavily on the indiscriminate spraying of herbicides across entire…

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