Integrated energy microgrid bi-level game scheduling optimization taking into account electricity-heat-hydrogen enriched compressed natural gas coupling and shared energy storage by Changgang Wang, Xiaoning Sun

“…Shared energy storage systems, which play a crucial role in improving energy utilization, have garnered increasing attention in recent research. However, the deployment of HCNG technology involves multiple stakeholders, posing challenges in balancing their respective benefits. …”
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Design of intelligent optimization of sports strategy and training decision support system based on deep reinforcement learning by Hua Xu, Bing Lin, Long Liu

“…The data is preprocessed by a sliding window average filter algorithm to eliminate noise and outliers. The system adopts the DQN (Deep Q-Network) architecture and applies dual DQN technology to improve model stability. …”
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To mix, or not to mix?: Mitogenomic insights for risk assessment of an interpopulation translocations of the critically endangered European mink by Jakub Skorupski, Christian Seebass, Wolfgang Festl, Natalia Kiseleva, Przemysław Śmietana, Mihai Marinov

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Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception–ResNet Model by Md. Ahasan Kabir, Ivan Lee, Sang-Heon Lee

“…A feature selection algorithm was employed to enhance processing efficiency and reduce spectral dimensionality while maintaining high classification accuracy. …”
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Identification of key genes in periodontitis by Xianyang Cheng, Shan Shen

“…To identify key genes associated with periodontitis pathogenesis and explore potential therapeutic biomarkers, we employed two complementary computational approaches: Random Forest, a robust machine learning algorithm for feature selection, and Weighted Gene Co-expression Network Analysis (WGCNA), a systems biology method for identifying co-expressed gene modules. …”
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An Optimized Capacitor Voltage Balancing Control Strategy of Modular Multilevel Converter Based on Comparison of Variable Reference Values by Fengyang GAO, Guodong QIANG, Yunbo GAO, Guoheng ZHANG

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Source-Grid-Load-Storage Synergistic Planning Considering Electricity-Carbon Coupling and Flexible Supply-Demand Balance by XIAO Bai, ZHANG Qingbai, QIN Weidong, QU Gaoqiang, KONG Yihui, ZHANG Xiaohua

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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…By combining data dimensionality reduction with adaptive evolutionary algorithms, this model overcomes the limitations of traditional methods in capturing complex nonlinear relationships. …”
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Depressive symptoms among patients with schizophrenia in acute and remission phases by Peljto Amir, Pešić Danilo, Christodoulou Nikos G., Lečić-Toševski Dušica

“…Bacground/Aim. Researchers suggest that among people with schizophrenia, the prevalence of depressive symptoms ranges from 7% to 80%. …”
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Sparse Temporal Data-Driven SSA-CNN-LSTM-Based Fault Prediction of Electromechanical Equipment in Rail Transit Stations by Jing Xiong, Youchao Sun, Junzhou Sun, Yongbing Wan, Gang Yu

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Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision by Shilong Yang, Lu Leng, Ching-Chun Chang, Chin-Chen Chang

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Ground Based Cloud Recognition with an Anchor Free Method by LI Yichao, GUO Rui, ZHANG Shaodi, SHOU Zefeng, CHEN Jing, LIU Yifei

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Modeling vector control of the asynchronous drive of electric rolling stock auxiliary machines by Yu. M. Kulinich, S. A. Shukharev, V. K. Dukhovnikov, A. V. Gulyaev

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Linear B-cell epitope prediction for SARS and COVID-19 vaccine design: Integrating balanced ensemble learning models and resampling strategies by Fatih Gurcan

“…This study contributes to vaccine development efforts and the advancement of immunoinformatics research by identifying promising epitope candidates.…”
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The method for approximate continuous Skyline query based on privacy protection in road network by Song Li, Xiaolong Yang, Liping Zhang, Guanglu Sun

“…It also uses an associated filtering algorithm. These tools help to swiftly process continuous queries. …”
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Untying the knot: Unraveling genetic mechanisms behind black knot disease resistance in Prunus salicina (Japanese plum) by Chloe Shum, Mohsen Najafabadi, Maxime deRonne, Davoud Torkamaneh, Walid El Kayal, Jayasankar Subramanian

“…Abstract Little is known regarding the genes, compounds and physiological alternations that take place upon infection of black knot disease. This research aimed to unravel the genetic mechanism responsible for the resistance of Japanese plum (Prunus salicina L.) trees against black knot (Apiosporina morbosa Schwein.) using a Genome‐Wide Association Study. …”
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Application of Object Based Image Classification Using Orthophotos: A Case Study of the Van-Erciş Earthquake by Aslı Sabuncu, Filiz Sunar

“…In the segmentation phase, the multi-resolution algorithm was utilized. After doing different trials, the most suitable shape factor and compactness values were considered. …”
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Data Balancing Techniques Using the PCA-KMeans and ADASYN for Possible Stroke Disease Cases by Uung Ungkawa, Muhammad Avilla Rafi

“…In this study, we use a deep neural network algorithm with focal loss that can deal with class imbalance during training. …”
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THE STUDY OF THE BRAIN IN A PATIENT WITH TYPE 1 DIABETES MELLITUS USING TECHNIQUES OF MAGNETIC RESONANCE IMAGING by Yu. G. Samoylova, N. G. Zhukova, M. V. Matveyeva, M. A. Rotkank, O. S. Tonkikh

“…The study of the brain, namely structural and metabolic manifestations of diabetes, is one of the priority problem of modern medical science.The aim of the study was to evaluate dynamics in the different techniques of magnetic resonance imaging in the diagnosis of brain changes in patients with T1DM.Research methods included physical examination, in accordance with the diagnostic algorithm of patients with T1DM, a neurologist consultation, an assessment of cognitive function, analysis of brain changes using standard magnetic resonance imaging and spectroscopy. …”
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Sentiment Classification of Public Perception on LHKPN Using SVM and Naive Bayes by Ahmad Rijal Hermawan Hermawan, Isa Faqihuddin Hanif

“…Sentiment classification was conducted using two machine learning algorithms: Support Vector Machine (SVM) and Naive Bayes. …”
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