Vehicle to Grid: Technology, Charging Station, Power Transmission, Communication Standards, Techno-Economic Analysis, Challenges, and Recommendations by Parag Biswas, Abdur Rashid, A. K. M. Ahasan Habib, Md Mahmud, S. M. A. Motakabber, Sagar Hossain, Md. Rokonuzzaman, Altaf Hossain Molla, Zambri Harun, Md Munir Hayet Khan, Wan-Hee Cheng, Thomas M. T. Lei

“…The operation and principles of V2G and its varieties, the present classifications and types of EVs sold on the market, applicable policies for V2G and business strategy, implementation challenges, and current problem-solving techniques have not been thoroughly examined. …”
Get full text

The Motives behind the Skepticism of Conventional Medicine Advocates towards Traditional Persian Medicine: An Expert Opinion by Majid Nimrouzi, Zahra Salehi, Faranak Alembizar

“… The conflict between conventional medicine and traditional medicine is an issue worldwide. Various factors contribute to this dissent. …”
Get full text

Qin Seal Script Character Recognition with Fuzzy and Incomplete Information by Yun Ou, Zhen-Jie Zhou, Di-Wen Kang, Pan Zhou, Xue-Wei Liu

“…During model training, different weights are assigned to classes with varying sample quantities to address the issue of class imbalance and improve the model's classification accuracy. …”
Get full text

Fall Detection Based on Continuous Wave Radar Sensor Using Binarized Neural Networks by Hyeongwon Cho, Soongyu Kang, Yunseong Sim, Seongjoo Lee, Yunho Jung

“…Accidents caused by falls among the elderly have become a significant social issue, making fall detection systems increasingly needed. …”
Get full text

Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department by Arianna Scala, Teresa Angela Trunfio, Massimo Majolo, Michelangelo Chiacchio, Giuseppe Russo, Paolo Montuori, Giovanni Improta

“…Abstract Emergency department (ED) overcrowding has become a critical issue in hospital management, leading to increased patient wait times and higher rates of individuals leaving without being seen (LWBS). …”
Get full text

PHYSICAL METHODS OF REHABILITATION IN CANCER PATIENTS AFTER COMBINED MODALITY TREATMENT FOR BREAST CANCER by V. E. Tishakova, E. V. Filonenko, V. I. Chissov, N. A. Efimenko, A. N. Urlova

“…Different approaches to post-mastectomy syndrome classification, its clinical and instrumental diagnosis are defined. …”
Get full text

DEVELOPMENT OF SPATIAL THINKING BASED STUDENT WORKSHEET IN GEOGRAPHY SUBJECT AT SMA NEGERI 1 RANDANGAN by Nurmuhniyanti M Hubaib, Sri Maryati, Syahrizal Koem

“…This research is based on the issue of the lack of teaching materials in the form of spatial thinking-based student worksheets to assist students' learning process. …”
Get full text

A Novel Tornado Detection Algorithm Based on XGBoost by Qiangyu Zeng, Guoxiu Zhang, Shangdan Huang, Wenwen Song, Jianxin He, Hao Wang, Yin Liu

“…Furthermore, the algorithm provides classification probabilities in the genesis and evolution of tornadoes, thereby supporting forecasters in their efforts to anticipate and issue timely tornado warnings.…”
Get full text

Learning Analytics for Bridging the Skills Gap: A Data-Driven Study of Undergraduate Aspirations and Skills Awareness for Career Preparedness by Joel Weijia Lai, Lei Zhang, Chun Chau Sze, Fun Siong Lim

“…This study investigates the alignment between undergraduate students’ career aspirations, their perceived skill development, and the role of higher education institutions in bridging the skills gap. To address this issue, a comprehensive survey was conducted among undergraduate students to gather data on their career aspirations, their awareness of the skills required for their chosen careers, and their perceptions of how well their university supports their skill development. …”
Get full text

Moisture Evaluation of Oil-Immersed Insulation in Bushings Based on Frequency Domain Spectroscopy and Grey Relational Analysis by Xianhao Fan, Sheng Li, Tengyue Sun, Yiyi Zhang, Jiefeng Liu

“…The feasibility and applicability of the proposed methods were later proved by the moisture evaluation of transformer oil-immersed bushings, in which the G RA is applied as a tool for moisture classification. The results showed that the average relative (absolute error) is less than 14.6% (0.17%). …”
Get full text

Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data by Seung-Hwan Choi, Dawn An, Inho Lee, Suwoong Lee

“…To address this issue, we employ a semi-supervised learning approach that relies solely on normal data to effectively detect abnormal patterns, overcoming the limitations of conventional methods. …”
Get full text

Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe? by Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone

“…This study investigates the error tolerance of different DNN and SSL techniques in image classification and segmentation tasks, including those relevant to Earth Observation. …”
Get full text

Determining the optimal generalization operators for building footprints using an improved graph neural network model by Xinyu Niu, Haizhong Qian, Xiao Wang, Limin Xie, Longfei Cui

“…However, previous studies have focused primarily on the intelligent use of each generalization operator separately, neglecting the intelligent scheduling issue between multiple operators when they are used simultaneously. …”
Get full text

Towards few-shot learning with triplet metric learning and Kullback-Leibler optimization by Yukun Liu, Xiaojing Wei, Daming Shi, Dan Xiang, Junliu Zhong, Hai Su

“…Intensive experiments have been conducted on three popular benchmark datasets, and the experimental results show that this method significantly improves the classification ability of few-shot learning tasks and obtains the most advanced performance.…”
Get full text

The Ukraine-Russia conflict: An international humanitarian law review of the involvement of foreign fighters by Khoirunnisa Khoirunnisa, Brian Matthew, Didi Jubaidi, Agung Yudhistira Nugroho

“…Their involvement on both sides of the conflict between those supporting either Ukrainian forces or Russian-backed groups, presents a complex issue that requires careful consideration within the context of IHL, which currently lacks clear provisions for addressing their legal status. …”
Get full text

AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…Malware detection datasets often contain a huge number of features, many of which are irrelevant, noisy, and duplicated. This issue diminishes the efficacy of Machine Learning models used for malware detection. …”
Get full text

2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

“…The experiments demonstrate that these methods solve the inherent Out-of-Sample Problem of the UMAP, effectively reduce algorithm complexity, and have superior classification performance and strong robustness in practical fault diagnosis applications.…”
Get full text

Unmasking Greenwashing in Finance: A PROMETHEE II-Based Evaluation of ESG Disclosure and Green Accounting Alignment by George Sklavos, Georgia Zournatzidou, Konstantina Ragazou, Nikolaos Sariannidis

“…This study addresses this issue by incorporating both ESG disclosure indicators and green accounting metrics into a multi-criteria decision-making framework. …”
Get full text

Care guide for patients with class II malocclusion with actively growing permanent dentition by Félix Adjei Tannor, Olga Lidia Véliz Concepción, Waldo Pérez Garcia, Armando San Miguel Pentòn

“…The experts established the invariable elements for their classification. Finally, a care guide was designed for patients with class II malocclusion with actively growing permanent dentition, rated by specialists as excellent.…”
Get full text

Study on incentive mechanism of reward and punishment on work efficiency of PCB welder based on recurrence quantification analysis and electroencephalogram signals by Zhang Qian, Mingyue Guo, Fuwang Wang

“…Abstract Traditional methods often struggle to objectively quantify the impact of salary incentives on employees’ productivity, leaving enterprise incentive strategies without a solid scientific foundation. To address this issue, this study innovatively combines recurrence quantification analysis (RQA) with electroencephalogram (EEG) signals, proposing a dynamic incentive evaluation model based on the analysis of brain chaos characteristics. …”
Get full text