Industrial IoT-Based Energy Monitoring System: Using Data Processing at Edge by Akseer Ali Mirani, Anshul Awasthi, Niall O’Mahony, Joseph Walsh

“…Once the edge receives the meter’s data, it stores the information in the database server, followed by the data processing method to find nine additional analytical parameters. The edge also provides a master user interface (UI) for comparative analysis and individual UI for in-depth energy usage insights, followed by activity and inactivity alarms and daily reporting features via email. …”
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A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems by Fernando Hermosillo-Reynoso, Deni Torres-Roman

“…Unfortunately, as the number of views increases, the number of parameters that determine the MV-DTF layer grows exponentially, and consequently, so does its computational complexity. …”
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w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training by Orlem Lima Dos Santos, Karen Rosero, Bruno Masiero, Roberto de Alencar Lotufo

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Expediency Analysis of Clustering Algorithms for Electric Two-Wheeler Driving Cycle Development Under Indian Smart City Driving Conditions by Azhaganathan Gurusamy, Akshat Bokdia, Harsh Kumar, A. Radhika, Bragadeshwaran Ashok, Chellamuthu Gunavathi

“…Further, the denoised speed data is utilized to extract the micro-trips and compute their driving parameters. Furthermore, the dimensions of the data are decreased through the utilization of principal component analysis. …”
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Optimised hybrid deep learning classification model for kidney stone diagnosis by Y Jini Jacob, Bethanney Janney J, Hemalatha RJ, Preethi S

“…The proposed work combines two deep learning models, AlexNet and Gated Recurrent Unit (GRU) for feature extraction and classification. These models are integrated to deliver optimal training parameter performance. …”
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Belarus Power Engineering System Modeling Taking into Account the Nuclear Power Plant Commissioning by A. A. Mikhalevic, U. A. Rak

“…The article presents the analysis of the specific features of modeling the operation of energy systems with a large share of nuclear power plants (NPP). …”
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Quarantine treatments of fresh vegetables and flower cuts against the western flower thrips by Yu. Kletchkovsky, E. Niamtsu

“…The following methods were used in the research: the analysis of knowledge systems in the field of physics, chemistry and biology, necessary in the sphere of fumigation; analogies (modeling), namely the application of fumigation parameters to species with similar morphological and biological features; study of scientific sources (paper and electronic), literary monographs and legislative and normative acts in the fumigation industry; expert assessments — experts were familiarized with the task of research to obtain their recommendations useful for its implementation; experimental — carrying out fumigation treatment in laboratory conditions, using the necessary equipment; mathematical and statistical — according to the method of B. …”
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DGTM: Deriving Graph from transformer with Mamba for panoptic scene graph generation by Youxuan Sun, Yunliang Chen, Xiaohui Huang, Yuewei Wang, Shaoqian Chen, Kangfei Yao, Ao Yang

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Statistical Comparison between Pores and Sunspots during the Time Interval 2010–2023 by Yang Peng, Yu Fei, Nan-bin Xiang, Lin-hua Deng, Ting-ting Xu, Sheng Zheng, Shu-guang Zeng, Hai-yang Zhang, Shi-hu Liu

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The Structure of Sandstones in Productive Horizons of the Permian Bituminous Deposits of Tatarstan (Russia) by R.R. Khasanov, A.I. Mullakaev, E.N. Dusmanov

“…The features of sandstones in productive horizons of the Permian bituminous deposits of Tatarstan (Russia) have been considered. …”
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Performance evaluation of ultrathin CdTe-based solar cells with dual absorbers via SCAPS-1D simulation by P. Parathraju, P. Umasankar

“…A double absorber layer with NiO as the windowed layer as well as FeSi2 as the secondary layer was investigated in order to enhance the PV system’s device features as well as parameters.…”
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An Optimized Maximum Second-Order Cyclostationary Blind Deconvolution and Bidirectional Long Short-Term Memory Network Model for Rolling Bearing Fault Diagnosis by Jixin Liu, Liwei Deng, Yue Cao, Chenglin Wen, Zhihuan Song, Mei Liu, Xiaowei Cui

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Peculiarities of the weed infestation of young paulownia (Paulownia tomentosa L.) stands by H. Nychkaliuk

“…The presence of weeds in young paulownia stands during the growing season leads to a significant suppression of culture plants. Establishing the features of the formation of weeding of paulownia plantations in the second year of vegetation is impossible without a comprehensive determination of plant growth parameters. …”
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Planning Crop Production with the Use of Digital Technologies by V. V. Alt, S. P. Isakova

“…It was noted that the solution to the problem of production planning implies systematizing and structuring the information about technological operations, identifying features and working out parameters for technology selection (adjustment), modeling the agricultural technological process, and the creation of automated information support. …”
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Design and investigation of dual-guided optical fiber with 60 OAM and 6 LP modes for ultra-high optical communication by Md. Mehedi Hassan, Muhammad Shahin Uddin, Mst. Nargis Aktar, Monir Morshed, Kawsar Ahmed, Bikash Kumar Paul, Md. Sarwar Hossain Mollah

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Improving Vulnerability Management for Security-by-Design of Medical Devices by Emanuele Raso, Francesca Nanni, Francesco Lestini, Lorenzo Bracciale, Giorgia Panico, Giuseppe Bianchi, Giancarlo Orengo, Gaetano Marrocco, Pierpaolo Loreti

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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

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A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution–Pooling Method by Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi, Yong Wang

“…To further reduce hardware resources, this work employs blockwise incremental calculation to eliminate redundant storage with computations. In addition, the R peak interval data are integrated with P-QRS-T features to improve the classification accuracy. …”
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Fabrication and in vivo testing of a sub-mm duckbill valve for hydrocephalus treatment by Yuna Jung, Daniel Gulick, Jennifer Blain Christen

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Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

“…Despite this, SPCNN exhibited the fastest testing times (0.00252 s), making it more computationally efficient than both PCNN and SFPCNN. We assessed model interpretability using feature activation maps, Gradient-weighted Class Activation Mapping (Grad-CAM) and SHapley Additive exPlanations (SHAP) visualizations for all three architectures, illustrating why SPCNN outperformed the others. …”
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