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interpretability

GeneTech 知识引擎共收录 1666 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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• A large language model-driven multidisciplinary AI agent system predicts delirium in emergency critically ill patients.
  2026 · AI Agent 生态 · Delirium occurs frequently in emergency departments and is associated with poor outcomes and increased burden. Early delirium risk prediction is crucial for timely prevention and intervention in emergency care, but most …
• A Controlled Comparison of Human and AI-Assisted Automated Revision of Delphi Statements on RNA-Based Medicines: Parallel, 2-Arm Study.
  2026 · AI Agent 生态 · The Delphi method is widely used to derive expert consensus on complex clinical problems, yet it is slow and resource intensive. Recent advances in large language models and retrieval‑augmented generation (RAG) of…
• Detection of kochia [Bassia scoparia (L.) A.J. Scott] and waterhemp [Amaranthus tuberculatus (Moq.) J.D. Sauer] in sugarbeet field using hyperspectral imaging and deep learning technologies.
  2026 · 智慧农业 · Kochia [Bassia scoparia (L.) A.J. Scott] and waterhemp [Amaranthus tuberculatus (Moq.) J.D. Sauer] are among the most aggressive and competitive weed species in sugarbeet production. Their similarity to the crop during e…
• Discovering High-Entropy Oxides with a Machine-Learning Interatomic Potential.
  2025 · AI 驱动科学发现 · High-entropy materials shift the traditional materials discovery paradigm to one that leverages disorder, enabling access to unique chemistries unreachable through enthalpy alone. We present a self-consistent approach in…
• A Cloud-Native Generative AI Agent Architecture for Predictive Cardiovascular Health Analytics
  2026 · AI Agent 生态 · The disease that has the highest morbidity and mortality in the world is cardiovascular disease, and this requires highly developed predictive analytics that will assist in identifying the risk factors at an early stage …
• 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…
• Optimizing Crop Selection and Fertilizer Usage with a Hybrid SVM-Genetic Algorithm Framework in Precision Agriculture
  2026 · 智慧农业 · The concept of precision agriculture emerged in the 1980s as a means to tailor fertilizer rates and mixtures to individual growing sites, with positive results for a wide range of crops and regions. Inadequate baseline d…
• Optimizing Products with Precision: A Review of Response Surface methodology
  2026 · 智慧农业 · Response Surface Methodology (RSM) is a powerful statistical tool widely used in optimizing complex processes across various industries, including agriculture, food technology, and biological sciences. This methodology e…
• Harnessing AI for Precision Agriculture: An Integrated System for Vineyard Pathogen and Pest Detection
  2026 · 智慧农业 · Vineyards are affected by pathogens globally. Some of the most damaging pathogens are Uncinula necator, Plasmopara viticola, and thrips, which affect the plant entirely and threaten the health and productivity of vineyar…
• Advances in AI for Smart Farming: A Review of Hybrid and Explainable Models for Crop Recommendation and Yield Prediction
  2026 · 智慧农业 · Smart farming integrates Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) to optimize crop productivity and resource use. By combining soil nutrient (NPK) and pH data with remote-sensing and Io…
• Smart Farming Using Machine Learning Analytics: A Crop Yield Prediction Model
  2026 · 智慧农业 · Agriculture is very important in food provision and sustenance. Proper prediction of crop yields is very important in the contemporary agriculture. It guarantees the manufacture of sufficient food both in quantity and qu…
• AI-Powered Smart Farming Advisor for Precision Agriculture & Sustainable Crop Management
  2026 · 智慧农业 · Agricultural productivity is critical for both global food security and economic stability. However, traditional farming techniques often restrict both yield and long-term sustainability. We introduce Smart AgroAssist, a…
• Explainable Deep Learning for Plant Disease Detection
  2026 · 智慧农业 · This chapter investigates the application of deep learning (DL) and explainable artificial intelligence (XAI) for plant disease detection and classification in agriculture. A comprehensive system is developed using the E…
• XAI2Brain: A Perspective on Mechanistic Interpretability for Brain–AI Alignment
  2026 · AI 安全与对齐 · The convergence of artificial intelligence (AI), explainable AI (XAI), and neuroscience is fostering new opportunities for understanding both machine and biological intelligence through interpretable and human-centered l…
• 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…
• Toward Clinically Dependable AI for Brain Tumors: A Unified Diagnostic–Prognostic Framework and Triadic Evaluation Model
  2026 · AI 安全与对齐 · Artificial intelligence (AI) has shown promising performance in brain tumor diagnosis and prognosis; however, most reported advances remain difficult to translate into clinical practice due to limited interpretability, i…
• The Role of Artificial Intelligence in Enhancing ESG Disclosure Quality in Accounting
  2026 · AI 安全与对齐 · As corporate sustainability reporting evolves into a pivotal resource for investors, regulators, and stakeholders, the imperative to evaluate and elevate ESG disclosure quality intensifies amid persistent challenges like…
• An LLM-Based Agentic Network Traffic Incident-Report Approach Towards Explainable-AI Network Defense
  2026 · AI 安全与对齐 · Traditional intrusion detection systems for IoT networks achieve high classification accuracy but lack interpretability and actionable incident-response capabilities, limiting their operational value in security-critical…
• Artificial Intelligence as a Catalyst for Antimicrobial Discovery: From Predictive Models to De Novo Design
  2026 · AI 安全与对齐 · Antimicrobial resistance represents one of the most critical global health challenges of the 21st century, urgently demanding innovative strategies for antimicrobial discovery. Traditional antibiotic development pipeline…
• How can the integration of AI large language models and knowledge graph enhance fault diagnosis? A systematic literature review
  2026 · AI 安全与对齐 · The integration of Large Language Models (LLMs) and Knowledge Graphs (KGs) represents an emerging approach to improving fault diagnosis in industrial settings. Traditional fault diagnosis methods—including model-based, s…
• Capturing Short- and Long-Term Temporal Dependencies Using Bahdanau-Enhanced Fused Attention Model for Financial Data—An Explainable AI Approach
  2026 · AI 安全与对齐 · Prediction of stock closing price plays a critical role in financial planning, risk management, and informed investment decision-making. In this study, we propose a novel model that synergistically amalgamates Bidirectio…
• Zentropy Theory in Materials Science: Challenges and Opportunities
  2026 · AI 驱动科学发现 · Zentropy theory has emerged as a multiscale thermodynamic framework that bridges quantum mechanics, statistical mechanics, and macroscopic materials behavior by embedding internal degrees of freedom within configurationa…
• Foundation models and AI agents in oncology drug discovery
  2026 · AI 驱动科学发现 · Oncology drug discovery remains limited by high attrition, slow experimental iteration and weak translation from preclinical models to clinical benefit. This review examines how AI is restructuring that process through t…
• Evolution of AI in Education: Agentic Workflows
  2025 · AI Agent 生态 · The primary goal of this study is to analyze agentic workflows in education according to the proposed four major technological paradigms: reflection, planning, tool use, and multi-agent collaboration. We critically exami…
• Evaluating Faithfulness in Agentic RAG Systems for e-Governance Applications Using LLM-Based Judging Frameworks
  2025 · AI Agent 生态 · As Large Language Models (LLMs) are core components in Retrieval-Augmented Generation (RAG) systems for knowledge-intensive tasks, concerns regarding hallucinations, redundancy, and unverifiable outputs have intensified,…
• Market Selection with Midpoint Matching: A Strategic Agent-Based Analysis
  2025 · AI Agent 生态 · We study midpoint matching through Nasdaq’s Midpoint Extended-Life Order (M-ELO) mechanism, which offers non-displayed midpoint execution subject to a mandatory holding period to balance liquidity and adverse-selection c…
• 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…
• Comprehensive Survey on TransplantMatch Agent: A Multi-Agent ML System for Kidney and Liver Transplant Compatibility Prediction
  2025 · AI Agent 生态 · Organ transplantation is a important treatment choice for patients with end-stage kidney and liver failure. However, powerful donor-recipient matching and long-term transplant success continue to be hard due to the compl…
• A Data-Driven Crop Recommendation System with Explainable AI for Precision Agriculture
  2025 · 智慧农业 · In this paper, we presented a crop recommendation system for precision agriculture that is based on the machine learning models providing crop recommendations based on the environmental and soil context. Introducing Expl…
• Detecting Rice Leaf Diseases with YOLOv8: A Scalable Solution for Precision Agriculture
  2025 · 智慧农业 · The issue of rice leaf diseases is a concern in food security within farming countries such as Indonesia. The conventional methods of inspection are usually tedious and filled with errors, making it preferable to incorpo…
• PERBEDAAN INTENSITAS NAUNGAN DAN VARIETAS TERHADAP SERANGAN HAMA DAN PENYAKIT PADA TANAMAN STROBERI (Fragaria L)
  2025 · 智慧农业 · Pengembangan stroberi di dataran rendah Indonesia masih terbatas, tetapi bisa menjadi peluang untuk memperluas area budidaya stroberi. Budidaya stroberi di dataran rendah akan menghadapi tantangan baru, terutama serangan…
• Advanced Detection of Coconut Stem Bleeding Using an Improved YOLOv5 Model for Precision Agriculture
  2025 · 智慧农业 · Coconut stem bleeding is a critical agricultural challenge threatening the health and productivity of coconut trees, a vital cash crop in tropical regions and a primary source of income for many farming communities. Earl…
• Smart Farming Assistant
  2025 · 智慧农业 · The Smart Farming Assistant is a machine learning-based system designed to aid farmers and agricultural planners in making informed decisions about crop yield and market pricing. The system utilizes advanced algorithms s…
• Smart Farming: Enhancing Crop Recommendation and Price Prediction with Advanced Machine Learning
  2025 · 智慧农业 · This paper examines the innovative advancements in crop recommendation and price prediction, focusing on how cutting-edge machine learning techniques are reshaping the agricultural landscape. Traditional methods of crop …
• Deep Learning for Smart Farming Using Efficient Net-Based Disease Detection in Crops
  2025 · 智慧农业 · Crops are a major source of food worldwide, which gives people food security and economic assistance for their survival. Climate change which causes drastic changes in the environment along with the immunity lack in crop…
• Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability
  2025 · AI 安全与对齐 · The integration of artificial intelligence (AI) in medical imaging has revolutionized diagnostic capabilities, yet the black-box nature of deep learning models poses significant challenges for clinical adoption. Current …
• Beyond Single Systems: How Multi-Agent AI Is Reshaping Ethics in Radiology
  2025 · AI 安全与对齐 · Radiology is undergoing a paradigm shift from traditional single-function AI systems to sophisticated multi-agent networks capable of autonomous reasoning, coordinated decision-making, and adaptive workflow management. T…
• Decision Alignment Protocols: Harmonising AI Agents for Comprehensive Market Assessment
  2025 · AI 安全与对齐 · As the complexity of global markets increases, the demand for coherent, high-fidelity decision-making in AI-driven investment analysis has intensified. This paper introduces Decision Alignment Protocols (DAPs), a novel f…
• Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis
  2025 · AI 安全与对齐 · Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by a wide spectrum of motor and non-motor symptoms, often leading to delayed or inaccurate diagnosis. Conventional diagnostic methods fre…
• Leveraging transformers and explainable AI for Alzheimer’s disease interpretability
  2025 · AI 安全与对齐 · Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, and behavioral changes. It is quite concerning that one in nine adults over the age of 65 have AD. Currently there is al…
• The Role of AI in Modern Aesthetic Dentistry
  2025 · AI 安全与对齐 · Artificial intelligence (AI) is reshaping aesthetic dentistry by improving diagnostic precision, treatment planning, outcome predictability, and overall patient satisfaction. This review aims to systematically analyze th…
• Advanced hybrid machine learning models with explainable AI for predicting residual friction angle in clay soils
  2025 · AI 安全与对齐 · Abstract Accurately estimating the residual strength friction angle of clay soils is vital for the design and stability evaluation of geotechnical structures such as slopes, retaining walls, and foundations, especially i…
• RETRACTED ARTICLE: A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction
  2025 · AI 安全与对齐 · Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate and severe cerebral disability can be avoided when stroke is diagnosed at its early stages, followed by subsequent treatm…
• Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging
  2025 · AI 安全与对齐 · The integration of pathology and radiology in medical imaging has emerged as a critical need for advancing diagnostic accuracy and improving clinical workflows. Current AI-driven approaches for medical image analysis, de…
• AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications
  2025 · AI 安全与对齐 · Gene expression regulation underpins cellular function and disease progression, yet its complexity and the limitations of conventional detection methods hinder clinical translation. In this review, we define "predict" as…
• AI and Machine Learning in Biology: From Genes to Proteins
  2025 · AI 安全与对齐 · Artificial Intelligence (AI) and Machine Learning (ML), especially deep learning, have revolutionized genomics and protein structure prediction, advancing precision medicine and drug discovery. This review focuses on the…
• Traditional AI
  2025 · AI 安全与对齐 · Amidst the current fervour surrounding Generative AI (GenAI), this chapter revisits the foundations of traditional AI technologies that continue to deliver significant value to businesses. Our exploration highlights how …
• Kinematic alignment doesn't tell the whole story: It's time for kinetic alignment
  2025 · AI 安全与对齐 · Abstract Kinematic alignment is increasingly adopted in total knee arthroplasty (TKA) as a patient‐specific strategy to restore native joint anatomy. However, its reliance on static radiographic measurements may not adeq…
• Transforming Dermatopathology With AI: Addressing Bias, Enhancing Interpretability, and Shaping Future Diagnostics
  2025 · AI 安全与对齐 · ABSTRACT Background Artificial intelligence (AI) is transforming dermatopathology by enhancing diagnostic accuracy, efficiency, and precision medicine. Despite its promise, challenges such as dataset biases, underreprese…
• A Review: Research Progress in Bridge Structural Health Monitoring From the Perspective of AI Development
  2025 · AI 安全与对齐 · Bridge structural health monitoring (BSHM) has consistently been a research hotspot in civil engineering. The field of BSHM has experienced a significant transition from traditional manual inspections to an advanced inte…
• A Systematic Review of Deep Knowledge Tracing (2015-2025): Toward Responsible AI for Education
  2025 · AI 安全与对齐 · Background and Objectives: Tracking and adapting to learners’ evolving knowledge is essential for effective teaching. In digital learning, Deep Knowledge Tracing (DKT) employs deep neural networks to analyze sequential l…
• Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems
  2025 · AI 安全与对齐 · Advances in artificial intelligence (AI) are transforming assisted reproductive technologies by significantly enhancing fertility diagnostics. This review focuses on integrating AI with Computer-Aided Sperm Analysis (CAS…
• Enhanced Malaria Detection Using Convolutional Neural Networks with SHAP and LIME for Model Interpretability
  2025 · AI 安全与对齐 · Malaria is a major global health concern in low-resource countries. Artificial intelligence (AI), particularly convolutional neural networks (CNNs), has become an effective approach for the automatic identification of ma…
• 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…
• From Black Box to Glass Box: A Practical Review of Explainable Artificial Intelligence (XAI)
  2025 · AI 安全与对齐 · Explainable Artificial Intelligence (XAI) has become essential as machine learning systems are deployed in high-stakes domains such as security, finance, and healthcare. Traditional models often act as “black boxes”, lim…
• 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…
• Transferable machine learning interatomic potential for carbon hydrogen systems.
  2024 · AI 驱动科学发现 · In this study, we developed a machine learning interatomic potential based on artificial neural networks (ANN) to model carbon-hydrogen (C-H) systems. The ANN potential was trained on a dataset of C-H clusters obtained t…
• FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
  2024 · AI Agent 生态 · Recent advancements in Large Language Models (LLMs) have exhibited notable efficacy in question-answering (QA) tasks across diverse domains. Their prowess in integrating extensive web knowledge has fueled interest in dev…
• 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…
• Advanced Deep Learning Model for Multi-Disease Prediction in Potato Crops: A Precision Agriculture Approach
  2024 · 智慧农业 · Potato farming is a crucial aspect of global agriculture, playing a pivotal role in ensuring food security and economic stability. However, the impact of diseases on potato plants poses a significant threat to both crop …

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