Immaterial Evidence by N. A. Ivanov

“…The author relates to immaterial evidence physical fields, radiation, undocumented information, computer programs, property rights, intangible benefits, heat and electric power, and information processes.…”
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GAS MOVEMENT IN ROTARY TILTING FURNACES by S. L. Rovin, L. E. Rovin, V. A. Zharanov

“…The article presents the results of studies of gas movement and heat and mass transfer processes in the rotary tilting furnace (RTF) at the heat treatment of disperse materials. …”
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On the Areal Random Packing by Masaharu Tanemura

“…Remarks about the connection to the random disk packing and to other processes are given. The article is published in the author’s wording.…”
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Annotation of protein-coding genes in 49 diatom genomes from the Bacillariophyta clade by Natalia Nenasheva, Clara Pitzschel, Cynthia N. Webster, Alexander J. Hart, Jill L. Wegrzyn, Mia M. Bengtsson, Katharina J. Hoff

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Eye-Tracking Technologies for Facilitating Multimodal Interaction in Aviation Environments by Dimosthenis Minas, Lukas Tews, Angelos Fotopoulos, Michalis Xenos, Alberto Calvo-Córdoba, María Rivas-Vidal

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State Estimators for Plants Implementing ILC Strategies through Delay Links by Lina Si, Xinyang Guo, Lixun Huang, Qiuwen Zhang

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Compilation, Analysis and Application of a Comprehensive Bangla Corpus KUMono by Aysha Akther, Md. Shymon Islam, Hafsa Sultana, A. K. Z. Rasel Rahman, Sujana Saha, Kazi Masudul Alam, Rameswar Debnath

“…Research in Natural Language Processing (NLP) and computational linguistics highly depends on a good quality representative corpus of any specific language. …”
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Comparative study of feedback linearization control for IM taking into account magnetic saturation effects by Mustapha Es-Semyhy, Abdellfattah Ba-Razzouk, Mustapha El haroussi, Abdelilah Hilali

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Transformers: A Security Perspective by Banafsheh Saber Latibari, Najmeh Nazari, Muhtasim Alam Chowdhury, Kevin Immanuel Gubbi, Chongzhou Fang, Sujan Ghimire, Elahe Hosseini, Hossein Sayadi, Houman Homayoun, Soheil Salehi, Avesta Sasan

“…The Transformers architecture has recently emerged as a revolutionary paradigm in the field of deep learning, particularly excelling in Natural Language Processing (NLP) and Computer Vision (CV) applications. …”
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Modeling and Reconstruction of Mixed Functional and Molecular Patterns by Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Peter L. Choyke

“…Functional medical imaging promises powerful tools for the visualization and elucidation of important disease-causing biological processes in living tissue. Recent research aims to dissect the distribution or expression of multiple biomarkers associated with disease progression or response, where the signals often represent a composite of more than one distinct source independent of spatial resolution. …”
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Optimization of fluid control laws through deep reinforcement learning using dynamic mode decomposition as the environment by T. Sakamoto, K. Okabayashi

“…The optimization of fluid control laws through deep reinforcement learning (DRL) presents a challenge owing to the considerable computational costs associated with trial-and-error processes. …”
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A multi-model approach identifies ALW-II-41-27 as a promising therapy for osteoarthritis-associated inflammation and endochondral ossification by Mauricio N. Ferrao Blanco, Raphaelle Lesage, Nicole Kops, Niamh Fahy, Fjodor T. Bekedam, Athina Chavli, Yvonne M. Bastiaansen-Jenniskens, Liesbet Geris, Mark G. Chambers, Andrew A. Pitsillides, Roberto Narcisi, Gerjo J.V.M. van Osch

“…Low-grade inflammation and pathological endochondral ossification are key processes underlying the progression of osteoarthritis, the most prevalent joint disease worldwide. …”
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A method for modifying carbonaceous materials with manganese carbonate to module the formation of singlet oxygen via activation with Peroxymonosulfate by Camila Mosquera-Olano, Carolina Quimbaya, Santiago López-Pérez, Elkin Castellón-Castrillón, Sandra Navarro, John Rojas, Jorge Acosta, Ricardo A. Torres-Palma, Yenny P. Ávila-Torres

“…Acetaminophen, sulphamethoxazole, and losartan were employed as the pharmaceutical targets, evaluating the effects of ROS (reactive oxygen species) in the acetaminophen degradation processes. The methodology of computational calculations was developed to obtain HOMO-LUMO for all systems of modified and unmodified materials in the presence of PMS and acetaminophen to understand both the adsorption and the carbocatalysis processes. …”
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Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures by Serhii Vladov, Łukasz Ścisło, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Tomasz Perzyński, Viktor Vasylenko, Victoria Vysotska

“…This system enables sequential data processing while ensuring high accuracy in anomaly detection. …”
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Periodic insight: Multilingual reputation generation system through daily opinion mining analysis by Achraf Boumhidi, Abdessamad Benlahbib, Erik Cambria, El Habib Nfaoui

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Advanced predictive analytics for bio-waste management using YOLOv8-SPP to enhance waste prediction and sustainability in smart cities by Selvalakshmi Balasubramanium, Bharathiraja Nagu, Shonak Bansal, Mohammad Rashed Iqbal Faruque, Kholoud Saad Al-mugren

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Evaluating the Properties of Railway Ballast Using Spectral Analysis of Ground Penetrating Radar Signal Based on Optimized Variational Mode Decomposition by Wael Zatar, Xia Hua, Gang Chen, Hai Nguyen, Hien Nghiem

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Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability by Sankar Murugesan, Jayaprakash Chinnadurai, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Radha Raman Chandan, Usha Moorthy

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Voice-activated home automation system for IoT edge devices using TinyML by Timothy Malche, Sandeep Budhani, Pramod Kumar Soni, Govind Murari Upadhyay

“…Using TinyML, the limitations of memory size, processing power and latency associated with IoT devices are addressed. …”
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EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models by B. R. Nayana, M. N. Pavithra, S. Chaitra, T. N. Bhuvana Mohini, Thompson Stephan, Vijay Mohan, Neha Agarwal

“…Second, 1D Convolutional Neural Networks models are developed, and pre-processed EEG signals are fed as input. Third, stacked spectrogram images are computed from decomposed EEG signals and are fed to 2D CNN models for classification. …”
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