End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

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Three Machine Learning Techniques for Melanoma Cancer Detection by Hadi Naghavipour, GholamReza Zandi, Abdulaziz Al-Nahari

“…In order to mitigate the biases in existing studies, the source code of this research is available at hadi-naghavipour.com/ml to serve aspiring researchers for improvement, correction and learning and provide a guideline for technology manager practitioners.…”
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Optimization model for wireless charging and power saving of smart canes for the visually impaired based on DRL by Zhaohua Ji, Cheng Xu, Jie Huang, Qinghui Zhou, Tao Yang, Diyi Zhang, Wuchao Zheng

“…Unlike conventional charging strategies that rely on static scheduling, our model dynamically optimizes charging decisions using a Deep Q-Network (DQN)-based algorithm, considering real-time environmental factors and user behavior. …”
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Oxidative stability of biodiesel in the presence of leaves and fruit extracts by Isadora Guilherme Branco, Erica Signori Romagnoli, José Gonçales Filho, Ana Carolina Gomes Mantovani, Dionisio Borsato

“…ABSTRACT This research evaluated the efficiency of ethanolic extracts from yerba mate leaves (Ilex paraguariensis), coffee leaves (coffea arabica), and jambolan pulp (Syzygium cumini Lamarck) through the application of the simplex-centroid mixture design, the super modified simplex optimization algorithm, and the functions of desirability, using the induction period (IP) and the rate constant (k) of the biodiesel oxidation reaction at 110 °C as responses. …”
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Detection of Silent Type I Choroidal Neovascular Membrane in Chronic Central Serous Chorioretinopathy Using En Face Swept-Source Optical Coherence Tomography Angiography by Magdy Moussa, Mahmoud Leila, Hagar Khalid, Mohamed Lolah

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Sentiment Analysis of Public Satisfaction with the 'INFO BMKG' Application using Naive Bayes, SVM, and KNN by Natasya Aditiya, Pratomo Setiaji, Supriyono Supriyono

“…With the increasing number of users of information-based applications, understanding how users perceive and evaluate such applications has become essential. This research employs three classification algorithms—Naive Bayes, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—to categorize user reviews into positive, neutral, or negative sentiments. …”
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Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…However, there is a short-fall in detailed research on optimizing models for weed identification with images from mobile embedded systems. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…This review paper delves into the future research that prioritizes developing computationally efficient algorithms and parallel computing strategies. …”
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A Lyapunov Optimization-Based Approach to Autonomous Vehicle Local Path Planning by Ziba Arjmandzadeh, Mohammad Hossein Abbasi, Hanchen Wang, Jiangfeng Zhang, Bin Xu

“…Autonomous vehicles (AVs) offer significant potential to improve safety, reduce emissions, and increase comfort, drawing substantial attention from both research and industry. A critical challenge in achieving SAE Level 5 autonomy, full automation, is path planning. …”
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SEISMIC RESPONSE OF FRAME BUILDINGS WITH COMBINED EARTHQUAKE PROTECTION SYSTEM by Abakar J. Abakarov, Khadzhimurad M. Omarov

“…Objectives The aim of the study is to search for methods to improve the efficiency of the earthquake protection systems with rubber-metallic seismic insulating supports by combining them with dry friction and brittle uncoupling elements. Method The research is based on dynamic modelling methods. Results The computational dynamic model of the combined earthquake protection system and the system of differential equations of the seismic motion of a five-story frame building were compiled and an algorithm for estimating the efficiency and selection of the optimum parameters of the earthquake protection system was developed. …”
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An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model by Minghao Zhu, Jialong Lai, Xiaoping Zhang, Yi Xu, Weidong He

“…These variables include those from previous research as well as new ones introduced here, such as slope and density with Gaussian summation. …”
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MobileNetV3: an efficient deep learning-based feature selection and classification technique for cardiovascular disease by B. Dhanalaxmi, B. Naveen Kumar, Yeligeti Raju, Rama Seshagiri Rao Channapragada

“…This research proposes a novel Deep Learning (DL) based MobileNetV3 method for categorizing cardiovascular disease, driven by the current obstacles. …”
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Spatial resolution of a preclinical PET tomograph by Guilherme Cavalcante de Albuquerque Souza, Rodrigo Modesto Gadelha Gontijo, Juliana Batista da Silva, Marcelo Mamede, Andréa Vidal Ferreira

“…Positron emission tomography (PET) is an important molecular image modality and its application on preclinical research has increased during last decades. Thus, in laboratory practice, it is important to implement a quality control of the equipment, since intrinsic factors influence the image quality. …”
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Obesity Status Prediction Through Artificial Intelligence and Balanced Label Distribution Using SMOTE by Arif Riyandi, Mahazam Afrad, M Yoka Fathoni, Yogo Dwi Prasetyo

“…The findings underscore the critical role of SMOTE in improving AI model accuracy for obesity prediction and highlight Random Forest as the most reliable algorithm for clinical decision-making. Limitations, such as dataset representativeness, suggest future research directions, including expanding data diversity and advanced feature selection techniques. …”
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Enabling data-driven design of block copolymer self-assembly by Chiara Magosso, Irdi Murataj, Michele Perego, Gabriele Seguini, Debra J. Audus, Gianluca Milano, Federico Ferrarese Lupi

“…This database follows the digital International System of Units principles and is complemented by a graphical user interface for process metadata insertion and an automated algorithm for image analysis to retrieve structural properties of the nanostructures. …”
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FungID: Innovative Fungi Identification Method with Chromogenic Profiling of Colony Color Patterns by John Pouris, Konstantinos Konstantinidis, Ioanna Pyrri, Effie G. Papageorgiou, Chrysa Voyiatzaki

“…These findings demonstrate that FungID offers a potential method for rapid and reliable identification of fungal species through chromogenic profiling, providing additional tools to conventional techniques being employed in the fields of health, microbiology, biotechnology, and more. Our research underscores the promising role of deep learning algorithms in enhancing the understanding of the taxonomy and ecological functions of fungi that can be grown in pure cultures, while also emphasizing the importance of carefully assessing the scope and limitations of these methods.…”
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Barcode-free multiplex plasmid sequencing using Bayesian analysis and nanopore sequencing by Masaaki Uematsu, Jeremy M Baskin

“…We develop a computational approach termed Simple Algorithm for Very Efficient Multiplexing of Oxford Nanopore Experiments for You (SAVEMONEY) that guides researchers to mix multiple plasmids and subsequently computationally de-mixes the resultant sequences. …”
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Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method by Ping WAN, Wei-Lun YANG, Jie-Wen LUO, Xiao-Feng MA

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Fatigue Damage Assessment of a Metro Vehicle Bogie Frame Based on Measured Field Load by Yangmin Wu, Zunsong Ren

“…Therefore, it is of high importance to establish test load conditions that match the actual operating environment to conduct fatigue reliability research on frames. To address this problem, in this study, we developed a high-precision force measurement frame and performed a long-term field test. …”
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Bayesian Analysis Enhances Sales and Warranty Strategies for Repairable Industrial Products by Considering Hybrid Deterioration Modes by Chih-Chiang Fang, Liping Ma, Wenfeng Kuo

“…Despite the significance of this issue, there has been limited research on hybrid deteriorating systems that encompass both maintainable and non-maintainable failure modes. …”
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