Featured Articles

LoGA: Loop-Carried Graph Attention Based Looped Vision Transformers for Fine-Grained Pla...

Rojalina Priyadarshini, Subham Divakar

Research Article ICCK Transactions on Emerging Topics in Artificial Intelligence 29 October 2026
Fine-grained plant disease classification requires separating classes of the same crop that often differ only in small, sparse lesion patterns. Looped Vision Transformers (LoopViTs) obtain depth by applying a small stack of weight-tied blocks repeatedly, yet each block rebuilds its attention graph from scratch at every iteration, although...
DOI 10.62762/TETAI.2026.672726

Advances in Plant Electrical Signals for Plant Health Monitoring and Smart Agriculture

Zeyu Zhai, Yingkai Fu, Chi Zhang +2 more

Review Article Journal of Plant Electrobiology 26 October 2026
Plant electrical signals are fast electrophysiological responses to environmental stimuli, physiological regulation and stress. Because they often change before visible symptoms appear, they are attractive indicators for early plant-health monitoring and for sensing in precision agriculture. Research in this area has moved from recording...
DOI 10.62762/JPE.2026.825022

How Much Does the Classifier Matter? A Cluster-Aware Comparison of Six Machine Learning ...

Chun-ya Liu

Research Article ICCK Journal of Image Analysis and Processing 26 October 2026
Comparative studies of machine learning classifiers for Land Use Land Cover (LULC) mapping often recommend one algorithm, yet their validation pixels are usually drawn from a few hand-digitised polygons and are far from independent. This study tested whether such differences survive that dependence. Six classifiers, namely Classification...
DOI 10.62762/JIAP.2026.490298

Extracting Agricultural Experts' Experiential Knowledge from Non-Standardized Text with ...

Jialong Huang, shigang Liu, Huarui Wu

Research Article ICCK Transactions on Intelligent Systematics 26 October 2026
Expert advice on crop management is often written informally, and in such text a number can easily be assigned the wrong role or attached to the wrong operation, material, or measurement basis. We propose QS-IE, a knowledge extraction method constrained by quantity and operation scope. Its unit of extraction is a complete quantitative fac...
DOI 10.62762/TIS.2026.540629

GenFedEdgeAgri: Diffusion-Enhanced Federated Edge AIoT for Climate-Resilient Precision A...

Prof. Ajit Kumar Samal, K Radha Achary

Research Article Next-Generation Computing Systems and Technologies 26 October 2026
Modern precision agriculture is undermined by data scarcity, privacy concerns, and high latency in remote areas, and centralized AI models struggle to forecast rare, climate-induced crop stresses given insufficiently diverse datasets and stakeholders' reluctance to share sensitive data. To address these obstacles, this study presents GenF...
DOI 10.62762/NGCST.2026.661752

Slope Stability Analysis Based on Machine Learning Optimized with Sparrow Search

Jiandong Zhang, Jing Wang, Fangfang Zhou +1 more

Research Article ICCK Transactions on Systems Safety and Reliability 25 October 2026
Slope stability prediction is a critical challenge in geotechnical engineering. This challenge arises from the complex nonlinear interactions among multiple influencing factors such as soil properties, slope geometry, and hydraulic conditions. Traditional analytical methods rely on simplified assumptions that fail to capture these complex...
DOI 10.62762/TSSR.2026.749493

Effects of Adversarial Training of Word Embeddings on Chinese Agricultural Pest and Dise...

Ziming Gao, Biao An, Yuansheng Wang +1 more

Research Article ICCK Transactions on Machine Intelligence 24 October 2026
Entity boundaries, confusable entity types and surface forms absent from the training data all make it harder to extract structured information from agricultural pest and disease texts. We examined whether single-step adversarial training of word embeddings with the fast gradient method (FGM) improves entity recognition when the BERT-CRF...
DOI 10.62762/TMI.2026.748742

The Medieval Text and the Modern Question: AI for Multilingual Semantic Retrieval across...

Antoni Mestre

Research Article ICCK Transactions on Machine Intelligence 23 October 2026
Multilingual access to medieval literature requires retrieval systems to bridge historical and cross-lingual semantic variation. This article introduces HistRAG, a language-aware framework combining lexical retrieval, multilingual dense representations, historical adaptation, hybrid fusion, and cross-encoder reranking. HistRAG separates t...
DOI 10.62762/TMI.2026.633155

How Do Multiple-Choice Assessments Reflect Student Performance? An Educational Data Mini...

Darius Pfitzner, Mark Brady, Niusha Shafiabady +2 more

Research Article ICCK Transactions on Educational Data Mining 23 October 2026
Multiple-choice questions (MCQs) are widely used in higher education because they efficiently assess knowledge and a broad range of cognitive skills across disciplines. This study examines how MCQ-based assessments contribute to predicting final student grades, using data from 2,390 students (comprising 26,698 non-missing attribute values...
DOI 10.62762/TEDM.2026.107680

DPMF: Dual-Path Multi-timescale Fusion with Phenology-Gated Prediction for Tomato State ...

Youlin Cui, Yisheng Miao, Chenlei Fang +1 more

Research Article ICCK Transactions on Intelligent Systematics 23 October 2026
Full-cycle management of greenhouse tomato requires continuous information on crop state together with estimates of daily water and nutrient use, yet destructive biomass measurements are sparse, and a single fixed model shared across resources is prone to stage-dependent negative transfer. This study proposes Dual-Path Multi-timescale Fus...
DOI 10.62762/TIS.2026.964269

Short-Term Impact of China's Reverse Repo Operations on the Overnight Shibor: Evidence f...

Zhiming Song, Chengzhi Zhao

Research Article Journal of Social Systems and Policy Analysis 23 October 2026
Based on daily data from China's money market between March and April 2025, this study investigates the short-term effects of the People's Bank of China's (PBC) reverse repo operations on the overnight interbank rate (O/N Shibor). Using Ordinary Least Squares (OLS) regression and an event-study approach, the analysis explores both the qua...
DOI 10.62762/JSSPA.2025.210231

From Data-Driven to Geology-Informed Learning: Geometry-Aware Graph Transformer Learning...

jinghan li

Perspective Journal of Geo-Energy and Environment 22 October 2026
Geo-energy systems involve heterogeneous subsurface properties, irregular spatial structures, and complex interactions. Conventional data-driven models either treat observations independently or rely on graph connectivity without explicitly encoding relative geometry, which limits their ability to distinguish spatially different configura...
DOI 10.62762/JGEE.2026.158449

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Topic: Large Language Models for Bioinformatics and Intelligent Healthcare

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December 31, 2026
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Journal of Artificial Intelligence in Bioinformatics
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Journal of Geo-Energy and Environment

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Journal of Digital Intelligence in Education

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