Learning-based cooperative content caching and sharing for multi-layer vehicular networks by Jun Shi, Yuanzhi Ni, Lin Cai, Zhuocheng Du

“…Simulation results show the proposed algorithm outperforms benchmark algorithms with static or varying content popularity. …”
Get full text

Hybrid optimization driven fake news detection using reinforced transformer models by Ganesh Karthik M, Khadri Syed Faizz Ahmad, Sai Geetha Pamidimukkala, Asha Prashant Sathe, Sirisha G.N.V.G, Sitha Ram M, Koteswararao Ch

“…Traditional detectors struggle with open-world scenarios, while Large Vision-Language Models (LVLMs) lack specificity in identifying local forgeries. …”
Get full text

MCC: Multi-Cluster Contrastive Semi-Supervised Segmentation Framework for Echocardiogram Videos by Yu-Jen Chen, Shr-Shiun Lin, Yiyu Shi, Tsung-Yi Ho, Xiaowei Xu

“…To address this, we propose a Multi-Cluster Contrastive (MCC) learning framework, a semi-supervised approach that minimizes annotation requirements while maintaining high segmentation performance. …”
Get full text

Genetic Relationship of Seven Endemic Inula L. (Asteraceae) Species Grown in Turkey by Emre Sevindik, Mehmet Yavuz Paksoy, Mustafa Sevindik

“…The phylogenetic tree was obtained using the UPGMA algorithm, and the tree consisted of two groups. The results were compared with the morphological, palynological nrDNA and cpDNA results of the past. …”
Get full text

Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal by Mohd Wajid, Arun Kumar, Rajendar Bahl

“…The acoustic vector sensor (AVS) is used to measure the acoustic intensity, which gives the direction-ofarrival (DOA) of an acoustic source. However, while estimating the DOA from the measured acoustic intensity the finite microphone separation (d) in a practical AVS causes angular bias. …”
Get full text

Edge Computing-Aided Dynamic Wireless Charging and Trip Planning of UAVs by Palwasha W. Shaikh, Hussein T. Mouftah

“…Additionally, a dynamic arrival management algorithm is introduced to minimize UAV wait times to enhance operational efficiency. …”
Get full text

Self‐Powered, Soft and Breathable Human–Machine Interface Based on Piezoelectric Sensors by Zhipeng Jiang, Chi Zhang, Sun Hwa Kwon, Lin Dong

“…Furthermore, the developed control algorithm enables a single sensor to comprehensively control robotic hands. …”
Get full text

METHOD OF QUALIFICATION ESTIMATION AND OPTIMIZATION OF PROFESSIONAL TEAMS OF PROGRAMMERS by A. A. Prihozhy, A. M. Zhdanouski

“…The proposed method is a basis for a genetic algorithm that performs the search for the number, size and staff of groups of programmers which yield a maximum of total qualification. …”
Get full text

Adaptive RFID Data Scheduling Using Proximal Policy Optimization for Reducing Data Processing Latency by Guowei Guo, Xinsen Yang, Ziwei Liang, Zeli Xi, Ximei Zhan, Peisong Li

“…The reward function is designed to minimize data processing latency while maintaining balanced reader utilization, resulting in enhanced system efficiency. …”
Get full text

Deformation analysis by an improved similarity transformation by Vahid Mahboub

“…The third attainment of this contribution is proposing another algorithm for rigorous similarity transformation with arbitrary rotational angles. …”
Get full text

State of Health Estimation for Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy and a Multi-Scale Kernel Extreme Learning Machine by Jichang Peng, Ya Gao, Lei Cai, Ming Zhang, Chenghao Sun, Haitao Liu

“…An accurate state of health (SOH) estimation for lithium-ion batteries (LIBs) is crucial for reliable operations and extending service life. While electrochemical impedance spectroscopy (EIS) effectively characterizes LIBs degradation patterns, the high dimensionality of EIS data poses challenges for an efficient analysis. …”
Get full text

GLClick: Interactive Segmentation Combining Global and Local Features by Jiaying Tang, Hongyuan Wang, Zongyuan Ding, Zihao Xin

“…Convolutional neural networks (CNNs) are the backbone of most modern interactive segmentation algorithms. However, the limited receptive field of CNNs restricts their ability to capture long-range semantic relationships. …”
Get full text

Pathways to Better Prediction of the MJO: 2. Impacts of Atmosphere‐Ocean Coupling on the Upper Ocean and MJO Propagation by Ajda Savarin, Shuyi S. Chen

“…The uncoupled model overestimates both precipitation and surface winds associated with the MJO, while coupled model simulations substantially reduce model bias. …”
Get full text

The Emotional Reinforcement Mechanism of and Phased Intervention Strategies for Social Media Addiction by Jingsong Wang, Shen Wang

“…Through a review, it was found that early addiction is mediated by the midbrain limbic dopamine system due to immediate pleasurable experiences (such as liking), while late addiction is maintained by negative emotional cycles due to the dysfunction of the prefrontal limbic circuit. …”
Get full text

Features of interrogation of minors who are victims of violence by N. E. Miloradova, N. A. Pashko

“…Despite the large number of works focused on the study of various aspects of minors participation in different investigative actions, the legal and psychological literature does not sufficiently describe the psychological features of the interrogation of minors and does not fully analyze the factors that may affect the juvenile’s testimony while conducting such an investigative action as the interrogation. …”
Get full text

Enhancing Flow Direction in Geothermal Fields Using Sentinel-1 Data for Sustainability Water Management by Utama Widya, Anjasmara Ira Mutiara, Handayani Hepi Hapsari, Indriani Rista Fitri

“…This study develops a flow direction prediction model using Sentinel-1 satellite imagery during rainy and dry seasons through the Random Forest machine learning algorithm. The pre-processing stage includes radiometric calibration, terrain flattening, speckle filtering, and Doppler terrain correction. …”
Get full text

Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach by DOI: 10.7172/2449-6634.jmcbem.2023.1.3 Journal of Marketing and Consumer Behaviour in Emerging Markets 1(16)2023 39 (39–50) © 2023 Authors. This is an open access journal distributed under the Creative Commons BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach Daniel Dan

“…While the negative valence of the feedback can represent a mixture of subjective and objective emotions, there are common features present in their expression. …”
Get full text

Enhanced Yolov8 network with Extended Kalman Filter for wildlife detection and tracking in complex environments by Langkun Jiang, Li Wu

“…Enhancing the Extended Kalman Filter algorithm guarantees reliable and precise tracking. …”
Get full text

Detection of Agricultural Terraces Platforms Using Machine Learning from Orthophotos and LiDAR-Based Digital Terrain Model: A Case Study in Roya Valley of Southeast France by Michael Vincent Tubog, Karine Emsellem, Stephane Bouissou

“…These results highlight the value of machine learning for terrace mapping while emphasizing the need to account for local geomorphological and data-quality factors to improve model performance. …”
Get full text

Edge Computing Oriented Certificateless Sorting Ciphertext Retrieval Scheme by DUAN Jie, GU Wei, ZHANG Shujuan, GONG Xin

“…[Methods] First, edge nodes were introduced to achieve ciphertext retrieval, for effectively sharing the computational cost of cloud computing while reducing the risk of leakage in data transmission paths. …”
Get full text