Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images by Amal Altamimi, Belgacem Ben Youssef

“…Recent advancements in hyperspectral imaging have significantly increased the acquired data volume, creating a need for more efficient compression methods for handling the growing storage and transmission demands. …”
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Artificial Intelligence in Architectural Education: New Learning and Design Approaches by Fatmanur Atalay

“… In recent years, artificial intelligence (AI) technologies have been increasingly incorporated into architectural design and education, offering advanced capabilities in data analytics, machine learning, and visual generation. …”
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Image-Based Accelerated Prediction of Thermal Properties of Package Substrates Using Combined Deep-Learning and an Enhanced Thermal Network Model by Jeong-Hyeon Park, Jaechoon Kim, Sukwon Jang, Sungho Mun, Eun-Ho Lee

“…As the need for processing large amounts of data increases, power consumption and the complexity of semiconductor package patterns also rise, making thermal management crucial. …”
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Challenges of implementing AI solutions in the pharmaceutical industry by A. G. Borodich

“…The literature reveals discrepancies between the assessments of the economic effectiveness of AI applications and the potential risks associated with factors such as the quality of input data, regulatory constraints, and ethical considerations. …”
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RS-SCBiGRU: a noise-robust neural network for high-speed motor fault diagnosis with limited samples by Sun Fenghao, Li Guofa, He Jialong, Liu Shaoyang

“…However, in real-world operating environments, acquiring large amounts of fault data as training samples is often challenging, which limits the applicability of traditional methods. …”
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AN ALGORITHM FOR GENERATING WORD LISTS WITH A SPECIFIED BIGRAM DISTRIBUTION FOR KEYSTROKE DYNAMICS BIOMETRIC TEMPLATE REGISTRATION by Evgeniy V. Shklyar

“…The approach is based on a text data generation algorithm designed to provide stable characteristics of biometric parameters when entering free text. …”
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netDx: interpretable patient classification using integrated patient similarity networks by Shraddha Pai, Shirley Hui, Ruth Isserlin, Muhammad A Shah, Hussam Kaka, Gary D Bader

“…A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse data types, and handle sparse data. A clinical predictor based on genomic data needs to be interpretable to drive hypothesis‐driven research into new treatments. …”
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Obesity Biomarkers: Exploring Factors, Ramification, Machine Learning, and AI‐Unveiling Insights in Health Research by Ankita Awari, Deepika Kaushik, Ashwani Kumar, Emel Oz, Kenan Çadırcı, Charles Brennan, Charalampos Proestos, Mukul Kumar, Fatih Oz

“…A detailed discussion is provided on the applications of ML in multi‐omics analysis and high‐throughput data integration for actionable insights. …”
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Lithium-Ion Battery State of Health Estimation Based on Feature Reconstruction and Transformer-GRU Parallel Architecture by Bing Chen, Yongjun Zhang, Jinsong Wu, Hongyuan Yuan, Fang Guo

“…This study proposes a method for estimating the state of health of lithium-ion batteries based on feature reconstruction and Transformer-GRU parallel architecture to solve the problems of noisy feature data and the poor applicability of a single model to different types and operating conditions of batteries. …”
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A Lightweight Residual Network for Unsupervised Deformable Image Registration by Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier

“…Unsupervised deformable volumetric image registration is crucial for various applications, such as medical imaging and diagnosis. …”
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Intelligent Fault Diagnosis of Hydraulic System Based on Multiscale One-Dimensional Convolutional Neural Networks with Multiattention Mechanism by Jiacheng Sun, Hua Ding, Ning Li, Xiaochun Sun, Xiaoxin Dong

“…Hydraulic systems are critical components of mechanical equipment, and effective fault diagnosis is essential for minimizing maintenance costs and enhancing system reliability. In practical applications, data from hydraulic systems are collected with varying sampling frequencies, coupled with complex interdependencies within the data, which poses challenges for existing fault diagnosis algorithms. …”
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A Multi-Parameter Persistence Algorithm for the Automatic Energy Calibration of Scintillating Radiation Sensors by Guglielmo Ferranti, Chiara Rita Failla, Paolo Finocchiaro, Alessandro Pluchino, Andrea Rapisarda, Salvatore Tudisco, Gianfranco Vecchio

“…Peak detection is a fundamental task in spectral and time-series data analysis across diverse scientific and engineering disciplines, yet traditional approaches are highly sensitive to the choice of algorithm parameters, complicating reliable and consistent interpretation. …”
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A Systematic Review of the Use of Electronic Nose and Tongue Technologies for Detecting Food Contaminants by Muhammad Zia Ul Haq, Baljit Singh, Xolile Fuku, Ahmed Barhoum, Furong Tian

“…The sensitivity of e-nose and e-tongue systems was analyzed using various data processing techniques. Recent research and development in leading countries (i.e., China, United Kingdom, Columbia, India, Portugal, Spain, Hungary, Ireland) was examined. …”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

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A Machine Vision Perspective on Droplet‐Based Microfluidics by Ji‐Xiang Wang, Hongmei Wang, Huang Lai, Frank X. Liu, Binbin Cui, Wei Yu, Yufeng Mao, Mo Yang, Shuhuai Yao

“…Abstract Microfluidic droplets, with their unique properties and broad applications, are essential in in chemical, biological, and materials synthesis research. …”
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On Flood Detection Using Dual-Polarimetric SAR Observation by Su-Young Kim, Yeji Lee, Sang-Eun Park

“…This study aims to elucidate the optimal exploitation of polarimetric scattering information in dual-pol SAR data. For an effective comparison of the flood detection performance between dual-pol parameters, we presented a simple fuzzy-based flood detection algorithm. …”
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ADPO: Adaptive DRAM Controller for Performance Optimization by Zhuorui Liu, Yan Li, Xiaoyang Zeng

“…Emerging applications like deep neural networks require high off-chip memory bandwidth and low dynamic loaded Double Data Rate SDRAM (DDR) latency. …”
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Theoretical approaches to detecting anomalies in meter readings in scientific literature by D.V. Furikhata, T.A. Vakalyuk

“…Statistical methods based on probabilistic models are considered, which allow relatively accurate determination of normal limits provided sufficient historical data is available. Classification methods of supervised learning are analysed, which require pre-labelled data for model training but provide high accuracy in detecting known types of anomalies. …”
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Landslide Susceptibility Assessment in Ya’an Based on Coupling of GWR and TabNet by Jiatian Li, Ruirui Wang, Wei Shi, Le Yang, Jiahao Wei, Fei Liu, Kaiwei Xiong

“…However, existing studies often lack scientific rigor in negative sample construction and have unclear model applicability. This study focuses on Ya’an City, Sichuan Province, China, and proposes an innovative approach to negative sample construction using Geographically Weighted Regression (GWR), which is then integrated with Tabular Network (TabNet), a deep learning architecture tailored to structured tabular data, to assess landslide susceptibility. …”
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Text Similarity Detection in Agglutinative Languages: A Case Study of Kazakh Using Hybrid N-Gram and Semantic Models by Svitlana Biloshchytska, Arailym Tleubayeva, Oleksandr Kuchanskyi, Andrii Biloshchytskyi, Yurii Andrashko, Sapar Toxanov, Aidos Mukhatayev, Saltanat Sharipova

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