Optimizing Security of Radio Frequency Identification Systems in Assistive Devices: A Novel Unidirectional Systolic Design for Dickson-Based Field Multiplier by Atef Ibrahim, Fayez Gebali

“…The method of implementing field multiplication operation significantly influences the system’s resilience against side-channel attacks; for instance, implementation using unidirectional systolic array structures can provide enhanced error detection capabilities, improving resistance to side-channel attacks compared to traditional bidirectional multipliers. Therefore, this research aims to develop a novel unidirectional systolic array structure for the Dickson basis multiplier, which is anticipated to achieve lower space and power consumption, facilitating the efficient and secure implementation of computationally intensive cryptographic algorithms in RFID systems with limited resources. …”
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Remote sensing in the estimation of evapotranspiration of tomato cultivation for industrial processing by Carolina Carvalho Rocha Sena, José Alves Júnior, João Mauricio Fernandes Souza, Adão Wagner Pego Evangelista, Rafael Battisti, Derblai Casaroli, Elson de Jesus Antunes Junior

“…The research was conducted in eight tomato-producing areas using center-pivot irrigation during the 2018 and 2019 harvests. …”
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Statistical and Machine Learning Classification Approaches to Predicting and Controlling Peak Temperatures During Friction Stir Welding (FSW) of Al-6061-T6 Alloys by Assad Anis, Muhammad Shakaib, Muhammad Sohail Hanif

“…This paper presents optimization of peak temperatures achieved during friction stir welding (FSW) of Al-6061-T6 alloys. This research work employed a novel approach by investigating the effect of FSW welding process parameters on peak temperatures through the implementation of finite element analysis (FEA), the Taguchi method, analysis of variance (ANOVA), and machine learning (ML) algorithms. …”
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Inhibition mediated by group III metabotropic glutamate receptors regulates habenula activity and defensive behaviors by Anna Maria Ostenrath, Nicholas Faturos, Yağnur Işık Çiftci Çobanoğlu, Bram Serneels, Inyoung Jeong, Ekin Dongel Dayanc, Anja Enz, Francisca Hinrichsen, Aytac Kadir Mutlu, Ricarda Bardenhewer, Suresh Kumar Jetti, Stephan C. F. Neuhauss, Nathalie Jurisch-Yaksi, Emre Yaksi

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Advancing coal fire detection model for large-scale areas based on RS indices and machine learning by Jinglong Liu, Feng Zhao, Yunjia Wang, Yanan Wang, Sen Du, Libo Dang, Jordi J. Mallorqui

“…In addition, there is limited research focused specifically on detecting coal fires over large areas. …”
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Targeted urinary metabolomics combined with machine learning to identify biomarkers related to central carbon metabolism for IBD by Miao-Lin Lei, Guan-Wei Bi, Xiao-Lin Yin, Xiao-Lin Yin, Yue Wang, Yue Wang, Yue Wang, Zi-Ru Sun, Zi-Ru Sun, Zi-Ru Sun, Xin-rui Guo, Hui-peng Zhang, Xiao-han Zhao, Feng Li, Feng Li, Yan-Bo Yu

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Method of Video-Measurements of Traffic Flow Characteristics at a Road Junction by Marina Yashina, Maria Belova, Alexey Mokhov

“…The automation of obtaining characteristics is based on the application of image recognition algorithms (virtual detection method).…”
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Welding defect detection with image processing on a custom small dataset: A comparative study by József Szőlősi, Béla J. Szekeres, Péter Magyar, Bán Adrián, Gábor Farkas, Mátyás Andó

“…Abstract This work focuses on detecting defects in welding seams using the most advanced You Only Look Once (YOLO) algorithms and transfer learning. To this end, the authors prepared a small dataset of images using manual welding and compared the performance of the YOLO v5, v6, v7, and v8 methods after two‐step training. …”
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Preperimetric glaucoma by N. A. Bakunina, E. V. Openkova, I. V. Shaposhnikova, L. M. Gabdrakhmanov, A. V. Kuroyedov, А. V. Seleznev, H. Y. Zargaryan

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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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Mathematics teachers’ perceptions of computational thinking and its integration into mathematics education by Muhammad Zuhair Zahid

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Teaching Additional Programming Languages on the Basis of Mapping in the System of Professional Development of Computer Science Teachers by Elisey Nigodin, Natalia Dobrovolskaia

“…The quality of acquired IT knowledge and Uniform State Exam (USE) results in informatics can be higher if students learn additional languages with broader capabilities in addition to the main programming language. The research is aimed at finding didactic technologies that allow expanding the range of programming languages studied by schoolchildren, which complements the professional skills of computer science teachers. …”
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ADPO: Adaptive DRAM Controller for Performance Optimization by Zhuorui Liu, Yan Li, Xiaoyang Zeng

“…The adaptive scheduling algorithms offer significant advantages in various real-world scenarios. …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…The importance of key predictors such as plasma glucose, BMI, and age was emphasized. Future research should focus on integrating multiple datasets and exploring more complex ML algorithms to enhance prediction accuracy and generalization. …”
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A Crime Data Analysis of Prediction Based on Classification Approaches by Fatima Shaker Hussain, Abbas Fadhil Aljuboori

“…The purpose of this research is to develop predictive models that can aid in crime pattern analysis and thus support the Boston department's crime prevention efforts. …”
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Comparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing. by Andrei Prodan, Valentina Tremaroli, Harald Brolin, Aeilko H Zwinderman, Max Nieuwdorp, Evgeni Levin

“…Microbial amplicon sequencing studies are an important tool in biological and biomedical research. Widespread 16S rRNA gene microbial surveys have shed light on the structure of many ecosystems inhabited by bacteria, including the human body. …”
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Grid-Connected Solar PV System with Maximum Power Point Tracking and Battery Energy Storage Integrated with Sophisticated Three-Level NPC Inverter by D. Ravi Kishore, T. Vijay Muni, B. Srinivas Raja, Mukesh Pushkarna, B. Srikanth Goud, Kareem M. AboRas, Sadam Alphonse

“…In this research, a solar photovoltaic system with maximum power point tracking (MPPT) and battery storage is integrated into a grid-connected system using an improved three-level neutral-point-clamped (NPC) inverter. …”
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A Survey on Data Mining for Data-Driven Industrial Assets Maintenance by Eduardo Coronel, Benjamín Barán, Pedro Gardel

“…The study categorizes two main techniques, four specialized approaches, and 27 methodologies, resulting in over 100 variations of algorithms tailored to specific maintenance needs for industrial assets. …”
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Seismic Events Prediction Using Deep Temporal Convolution Networks by Yue Geng, Lingling Su, Yunhong Jia, Ce Han

“…Currently, this task attracts increasing research enthusiasms from many mining experts. Considering the temporal characteristics of monitoring data, seismic events prediction can be abstracted as a time series prediction task. …”
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Assessment and Correction of the Cardiac Complications Risk in Non-cardiac Operations – What's New? by A. N. Sumin

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