Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

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Automated sleep staging using sequential XGBoost and multi-scale temporal fusion by Jiří Kuchyňka, Oldřich Vyšata

“…The method was validated on a clinical dataset (224 polysomnographic recordings) and the Sleep-EDF expanded database, achieving accuracy rates of 81.5% (Cohen's kappa [κ] = 0.742) on clinical data and up to 91.5% (κ = 0.826) on Sleep-EDF data. The sequential processing notably enhanced non-rapid eye movement stage 1 (N1) detection, with F1-score improvements ranging from 27 to 61% across datasets. …”
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PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans by Ali Raza, Ehsan Ullah, Kamran Javed, Muhammad Majid, Zubair Saeed

“…In cardiac research, TWA refers to microscopic TWA as its amplitude ranges in microvolts (ţV). Detection and estimation of TWA in embed noises are still challenging as require elaborated signal processing techniques. …”
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Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning by Zhiyuan Wang, Xiaogang Hu, Gan Li, Zhen Xu, Hongxing Lu, Qiang Zhu

“…In this study, a machine learning (ML) model has been developed to identify defective products through the detection of injection pressure, thereby providing a foundation for monitoring and further optimizing the manufacturing process. …”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

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Cacography based Ransomware Email Phishing Attack Prevention using Language Pack Tuned Transformer Language Model by S. Abiramasundari, V. Ramaswamy

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A stacked ensemble model for traffic conflict prediction using emerging sensor data by Bowen Cai, Léah Camarcat, Nicolette Formosa, Mohammed Quddus

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Enhanced Hyperspectral Forest Soil Organic Matter Prediction Using a Black-Winged Kite Algorithm-Optimized Convolutional Neural Network and Support Vector Machine by Yun Deng, Lifan Xiao, Yuanyuan Shi

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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…Recently, deep neural networks have been widely applied to enhance the speed and precision of ICH detection yet they are still challenged by small or subtle hemorrhages. …”
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Fast Long-Range Photon Counting Depth Imaging With Sparse Single-Photon Data by Yan Kang, Lifei Li, Dawei Liu, Dongjian Li, Tongyi Zhang, Wei Zhao

“…Especially, utilizing a modified total variation regularization algorithm with an optimal initial value, the acquisition time necessary for each pixel could be reduced by a factor of 8 compared to the traditional median filter approach, and the image processing time is extremely improved. This depth imaging system is a low-light-level device for a variety of applications, such as target detection, space surveillance, and distance measurement.…”
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DEVELOPMENT OF A METHOD FOR ANALYZING TOMOGRAPHIC IMAGES OF BONE STRUCTURES by Hanna Abramova, Oleh Avrunin

“…This is justified by the fact that the detection of pathological processes is one of the most important tasks of image processing and analysis; at the same time, early diagnosis of various pathologies, including cancer, significantly increases the chances of patient recovery. …”
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Methodology to classify high voltage transmission poles using CNN approach from satellite images for safety public regulation application: Study case of rural area in Thailand by Bastien Marty, Raphael Gaudin, Tom Piperno, Didier Rouquette, Cyrille Schwob, Laurent Mezeix

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Multispectral Imaging Method in Laparoscopy by Xin Yang

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Direct Collapse Pre-supermassive Black Hole Objects as Lyα Emitters by Yang Luo, Isaac Shlosman

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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

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Speaker-Independent Phoneme-Based Automatic Quranic Speech Recognition Using Deep Learning by Samah Al-Zaro, Mahmoud Al-Ayyoub, Osama Al-Khaleel

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Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction by Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, Mikhail Shutov, Usman Tasuev, Ksenia Evteeva, Maksim Mironenko, Evgeny Burnaev

“…Abstract Wildfires play a pivotal role in environmental processes and the sustainable development of ecosystems. …”
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Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems by Talita M. O. A. Cunha, Gabriela N. Lopes, Leonardo S. Lessa, Moises J. B. B. Davi, Mario Oleskovicz, Jose C. M. Vieira

“…A bibliometric analysis was performed to identify research trends, revealing a focus on signal processing techniques like Wavelet Transform and the increasing use of machine learning methods. …”
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Comparison of plastic and glass cages on volatile compounds in protein extracted from Protaetia brevitarsis larvae by Ji Yoon Cha, Tae-Kyung Kim, Yea-Ji Kim, Jae-Hoon Lee, Min-Cheol Kang, Hae Won Jang, Yun-Sang Choi

“…This study investigated the volatile compounds and processing properties of protein from Protaetia brevitarsis larvae reared in plastic and glass cages. …”
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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…Many-core systems are systolic architectures consisting of an arbitrarily large number of processing nodes connected by a point-to-point communication network. …”
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