Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
Get full text

Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
Get full text

Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

“…These estimated curves are integrated into a process that calculates technical losses, both no-load and load losses, for different transformer sizes, selecting the optimal rating that minimizes losses without compromising demand. …”
Get full text

Analysis of Changes in Vegetation Cover Using Satellite Images of Sorok Island in Republic of Korea by Hyungjin Cho, Seungnam Jin, Jong-Seo Won, Youngjun Park

“…This study aims to compare and analyze the past and present vegetation changes on Sorok Island using satellite imagery to understand the current development patterns that damage the island's unique ecological and environmental characteristics. …”
Get full text

CONCOMITANT CARDIOVASCULAR DISEASES AND ANTIHYPERTENSIVE TREATMENT IN OUTPATIENT PRACTICE (BY THE RECVASA REGISTRY DATA) by M. M. Loukianov, S. A. Boytsov, S. S. Yakushin, S. Yu. Martsevich, A. N. Vorobyev, A. V. Zagrebelnyy, N. N. Nikulina, K. G. Pereverzeva, E. A. Pravkina, A. D. Deev, E. V. Kudryashov, E. N. Belova

“…The mean number of prescribed AHDs was 1.73. The mean incidence rate of target blood pressure achievement was 26.1%. …”
Get full text

Selenium + Vitamin E Supplementation in Anestrus Goats: A Strategy to Enhance Reproductive Outcomes Under a Semi-Arid Production System by Raquel Santos-Silva, Cesar A. Meza-Herrera, Brenda Castro-Roque, Guadalupe Calderón-Leyva, Cayetano Navarrete-Molina, Oscar Angel-García, Jessica M. Flores-Salas, Angeles De Santiago-Miramontes, Fernando Arellano-Rodriguez, Cesar A. Rosales-Nieto

“…The response variables included estrus induction (EI), ovulatory rate (OR), corpus luteum diameter (CLD), left and right ovary diameters (LOD and ROD), embryo implantation (EMBRYO), and pregnancy rates (PREG). …”
Get full text

Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…However, due to individual variations in rating patterns and dynamic interplays of item attributes, it becomes challenging to model user preferences accurately. …”
Get full text

Buddhist Principles in Urban Livability Assessment: A Thematic Analysis of Integration Approaches in Contemporary Research (2015-2024) by Kiatanantha Lounkaew

“…The research identifies implementation challenges and opportunities across regions, with traditionally Buddhist areas showing higher adoption rates, though principles remain universally applicable. …”
Get full text

Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation by Nithika Vivek, Karthik Ramesh

“…Model reliability was assessed by visualizing the output activation map of each model and comparing the diagnosis patterns to that of dermatologists. The addition of metadata to the image dataset was key to reducing the false-negative and false-positive rates simultaneously, thereby producing better metrics and improving overall model accuracy. …”
Get full text

TECTONOPHYSICAL RESEARCH AT INSTITUTE OF THE EARTH’S CRUST SB RAS: MAJOR ACHIEVEMENTS AND ACTUAL PROBLEMS by Semen I. Sherman, Konstantin Zh. Seminsky

“…Internal structures of faults are studied; stages in faulting are generally defined in terms of time; regularities of patterns of joints inside faults are described; and original methods of mapping such joints are proposed to reveal tectonic conditions of faulting.Based on seismic monitoring, new methods of quantitative assessment of relative activity rates of faults in real time are developed. …”
Get full text

Comparative Analysis of All-cause and Cardiovascular Mortality in Moscow and Irkutsk by F. I. Belyalov, I. V. Samorodskaya, S. V. Pogodaeva

“…Cardiovascular diseases were dominated in the mortality patterns of the compared cities: 47% in Irkutsk, 64% in Moscow. …”
Get full text

Presentation time shapes perceived room size in visual and auditory modalities by Johanna Bogon, Cindy Jagorska, Ella Maria Heinz, Martin Riemer

“…As time judgments were consistently rated as more difficult relative to space judgments, this pattern of interference cannot be explained on the basis of task difficulty. …”
Get full text

Variation of herbivory damage on potato (Solanum tuberosum ssp. andigena) leaves in different degrees of proximity to native vegetation in Combaya, La Paz by Emili Antonia Jiménez

“…High herbivory rates are related to the emergence of new pests and are a problem for plants of commercial interest, such as potato (Solanum tuberosum). …”
Get full text

AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis by Esther Ugo Alum

“…The advancement of biomarker discovery methodologies with AI seeks to transform cancer by improving patient survival rates through enhanced early diagnosis and targeted therapy. …”
Get full text

Near viewing behaviors predict educational system in a machine learning model by Ravid Doron, Einat Shneor, Lisa A. Ostrin, Ariela Gordon-Shaag, Ayelet Goldstein

“…Abstract Intensive education systems are believed to contribute to high rates of myopia. This study examined whether near-viewing behaviors in college students differ based on their pre-college educational systems and whether these behaviors can be used to classify students’ educational background using machine learning. …”
Get full text

Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…Feature extraction is done using local binary patterns (LBP). Classification is performed using a fuzzy support vector machine (FSVM) classifier. …”
Get full text

An Analysis of Stakeholder Management in Project Performance: A Case of Lusaka 400 Road Construction Projects by Dalisani Phiri, Kelvin Chimbomba

“…However, numerous studies have reported high failure rates in managing cost overruns and project delays during the implementation of the Lusaka 400. …”
Get full text

Modeling of Systematic Errors and Precision Optimization Methods for Workpiece Clamping and Alignment System in Aeroengine Gearbox Automated Line Machining by DU Xueming, XIANG Yang, LIU Shun, JIN Sun

“…Afterwards, it defines a precision loss quantification function, incorporating both output distribution deviations and tolerance violation rates. By optimizing the bases structure of the alignment system, the precision loss is reduced from 11.53% to 2.33%. …”
Get full text

Evolutionary Links Between Skull Shape and Body Size Suggest Allometric Forces and Selection at Work in a Generalist Group of Lizards by Julio A. Rivera, Jesualdo A. Fuentes‐G., Emília P. Martins

“…We also found strong links to overall body size, with evolutionary shifts to larger bodies being associated with more compact skulls and slower evolutionary rates. This is the opposite of the pattern in most mammals in which larger bodied species have longer snouts, and more like the pattern in frogs in which function has played a more important evolutionary role. …”
Get full text

Neighborhood environment and incident diabetes, a neighborhood environment-wide association study ('NE-WAS'): Results from the Hispanic Community Health Study/Study of Latinos (HCH... by Cara M Smith, Elizabeth W Spalt, Linda C Gallo, Jordan Carlson, Matthew Allison, Daniela Sotres-Alvarez, Christina Cordero, Qibin Qi, Earle C Chambers, Martha Daviglus, Amber Pirzada, Gregory A Talavera, Robert Kaplan, Joel D Kaufman, Stephen J Mooney

“…Type 2 diabetes incidence rates vary between neighborhoods, but no single aspect of the neighborhood environment is known to cause type 2 diabetes. …”
Get full text