Deep learning model optimization for crop prediction and recommendation using Harris Hawks optimization by P Latha, Kumaresan P

Get full text

Dynamic clustering of genomics cohorts beyond race, ethnicity—and ancestry by Hussein Mohsen, Kim Blenman, Prashant S. Emani, Quaid Morris, Jian Carrot-Zhang, Lajos Pusztai

Get full text

A Low-Discrepancy and Latency-Aware, Scenario-Sensitive Resource Allocation Approach for Cloud Systems Using Latin Square-Based Improvised Genetic Optimization (LSBGO) by Aman Kumar Routh, Prabhat Ranjan, Asisa Kumar Panigrahy

Get full text

Millimeter-Wave Imaging with Range-Resolved 3D Depth Extraction Using Glow Discharge Detection and Frequency-Modulated Continuous Wave Radar by Arun Ramachandra Kurup, Daniel Rozban, Amir Abramovich, Yitzhak Yitzhaky, Natan Kopeika

Get full text

DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

Get full text

Integrative bioinformatics frameworks for abdominal aortic aneurysm using GWAS meta-analysis, biological network construction, and structural modeling by Pakorn Sagulkoo, Hathaichanok Chuntakaruk, Apichat Suratanee, Kitiporn Plaimas, Nuttinee Teerakulkittipong

Get full text

A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

Get full text

A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

Get full text

Time-Series Data-Driven PM_2.5 Forecasting: From Theoretical Framework to Empirical Analysis by Chunlai Wu, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

“…With its self-attention mechanism and parallel processing capabilities, Transformer is particularly outstanding in addressing the challenges of long sequence modeling. …”
Get full text

Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery by Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao

Get full text

Unsupervised Context-Linking Retriever for Question Answering on Long Narrative Books by Mohammad A. Ateeq, Sabrina Tiun, Hamed Abdelhaq, Wandeep Kaur

“…However, narrative books impose new challenges while utilizing recent pretrained large language models since such lengthy content requires additional computational costs and leads to performance degradation. …”
Get full text

A novel LLM time series forecasting method based on integer-decimal decomposition by Lei Wang, Keyao Dong, Xiaoyong Zhao

“…Inspired by advancements in natural language processing (NLP) and computer vision (CV), large language models (LLMs) have emerged as a promising method for time series forecasting. …”
Get full text

Bias Correction of Terrestrial Water Availability: Comparison of Trend‐Preserving Cumulative Distribution Function Matching Methods by Jingyi Li, Boqiang Qin

“…ABSTRACT Terrestrial water availability, quantified by precipitation minus evapotranspiration (P−E), is essential in Earth's water cycle, whereas model simulation of P−E is still largely biased and requires a post‐processing procedure. This study introduces the grid‐by‐grid cumulative distribution function (CDF) matching method to correct simulation bias in P−E, based on the ERA5‐Land dataset and outputs from 13 selected CMIP6 global climate models. …”
Get full text

Artificial Intelligence-Assisted Selection Strategies in Sheep: Linking Reproductive Traits with Behavioral Indicators by Ebru Emsen, Muzeyyen Kutluca Korkmaz, Bahadir Baran Odevci

“…The integration of accelerometers, GPS systems, and computer vision models enables continuous, non-invasive monitoring, leading to earlier detection of reproductive events and greater breeding precision. …”
Get full text

An efficient certificateless anonymous signcryption communication scheme for vehicular adhoc network by Changyuan Luo, Duan Li, Muhammad Saad Khan

“…In existing certificateless anonymous signcryption schemes for VANETs, vulnerabilities such as potential attacks involving the substitution of pseudonyms and the forging of pseudonymous public-private key pairs exist due to the lack of “identity-key binding” and “non-linearity processing of public-private key pairs.” To address this issue, we propose an improved certificateless anonymous signcryption scheme based on elliptic curve cryptography. …”
Get full text

Image captioning deep learning model using ResNet50 encoder and hybrid LSTM–GRU decoder optimized with beam search by P. V. Kavitha, V. Karpagam

“…Image captioning is a fascinating and fast-evolving research project that integrates two domains: Natural Language Processing and Computer Vision. Creating appropriate captions is a difficult task due to the many activities portrayed in the backdrop image. …”
Get full text

Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

“…This architecture enhances manageability, reduces computational demands, and facilitates debugging processes. …”
Get full text

Trajectory Similarity Algorithm Based on DTW and Trajectory Point Compression by GAO Wei, QIAN Chengyang, ZHANG Qi, XIE Hongquan

“…Understanding the behavior characteristics of these holders through processing massive trajectory data has become an important issue to be addressed using trajectory similarity algorithms. …”
Get full text

A Lightweight and Small Sample Bearing Fault Diagnosis Algorithm Based on Probabilistic Decoupling Knowledge Distillation and Meta-Learning by Hao Luo, Tongli Ren, Ying Zhang, Li Zhang

“…Traditional deep learning-based bearing fault diagnosis algorithms rely on large amounts of training data; training and inference processes consume significant computational resources. …”
Get full text

Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…The results indicate that genetic algorithm significantly reduces the processing time when used as the initial heuristic. …”
Get full text