Terahertz Communication: State-of-the-Art and Future Directions by Sanjeev Sharma, Praveen K. Singya, Kuntal Deka, Cedric Adjih, Mohit Sharma

“…Additionally, we discuss the current state-of-the-art in THz communication technology, covering aspects such as modulation techniques, radio frequency (RF) front-end design, and signal processing algorithms. Furthermore, we analyze the challenges and limitations associated with THz communication, such as propagation losses, atmospheric absorption, beam split, and hardware constraints. …”
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An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model by Nisha Y., Jagadeesh Gopal

“…The automated disease diagnosis system is proposed using a deep learning (DL) algorithm, which automates and helps speed up the process efficiently. …”
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Anomaly Detection Method With Rebar Response Suppression for Microwave Ground Penetrating Radar Pavement Inspection by Natsuki Akiyama, Takahide Morooka, Katsuyoshi Suzuki, Shouhei Kidera

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A hybrid renewable energy system for Hassi Messaoud region of Algeria: Modeling and optimal sizing by Yacine Bourek, El Mouatez Billah Messini, Chouaib Ammari, Mohamed Guenoune, Boulerbah Chabira, Bipul Krishna Saha

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MODELING OF PROBLEMATIC SITUATIONS IN INTERSUBJECTIVE CONTROL THEORY by T. V. Moiseeva, N. Yu. Polyaeva

“…In order to visualise the stage sequence of finding a way out of a problem situation, a method relying on graphic images is used.Results. The theory of intersubjective management for finding a way out of problematic social situations is developed. …”
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System for digital character recognition, extraction and structuring of medical data with the formation of a cloud-based electronic health records by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak

“…The purpose of the work was to outline the structure and benefits of using the RuPatient electronic health record (EHR), created to automate the work with medical data, digital character recognition and building an algorithm for communicating with patients. The created RuPatient EHR automates the processing of medical documents using image digitization and optical character recognition and the formation of a database. …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…Deep learning algorithms have demonstrated exceptional performance on various computer vision and natural language processing tasks. …”
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Deep learning-based feature selection for detection of autism spectrum disorder by Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz, Mohamed Abd Elaziz

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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…Second, we introduce a hybrid mechanism combining dimensional small-hole imaging backward learning and Cauchy mutation, which improves the diversity of the individual sparrow selection of optimal positions and helps overcome the algorithm’s tendency to become trapped in local optima and premature convergence. …”
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A feature extraction method based on improved resonance sparse decomposition for early faults in rolling bearings by SUN Meng, GAO Bingpeng, CHENG Jing

“…The algorithm comparison experiments show that the proposed IGTO algorithm has significantly improved optimization performance. …”
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Designing modules of system dynamics in decision support systems by A. B. Sorokin, L. M. Zheleznyak, D. V. Suprunenko, V. V. Kholmogorov

“…Based on the set of these plans, a graphic image was synthesized for constructing models of system dynamics, which is identical to the diagram of flows and levels of development of the SIR process. …”
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Predicting Nottingham grade in breast cancer digital pathology using a foundation model by Jun Seo Kim, Jeong Hoon Lee, Yousung Yeon, Doyeon An, Seok Jun Kim, Myung-Giun Noh, Suehyun Lee

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Leveraging Explainable Artificial Intelligence (XAI) for Expert Interpretability in Predicting Rapid Kidney Enlargement Risks in Autosomal Dominant Polycystic Kidney Disease (ADPKD... by Latifa Dwiyanti, Hidetaka Nambo, Nur Hamid

“…However, determining high-risk status typically requires magnetic resonance imaging (MRI) to calculate total kidney volume (TKV), a time-consuming process demanding specialized expertise. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

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Economic and Management Applications of Brain – Computer Interface Technology by Oana Stefania Cosa, Daniela Georgiana Golea, Felix Constantin Goldbach

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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data by Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan

“…Advanced techniques, including medical imaging and machine learning, are widely used for early diagnosis. …”
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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

“…To solve the tasks set, a comprehensive approach was applied, incorporating Data Science methods: descriptive statistics, data collection through Data Scraping techniques, natural language processing (NLP) for thematic modeling and sentiment analysis of the reviews, as well as cluster analysis using the k-means algorithm. …”
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Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns by Andreas Palmtag, Lorenz Lehmann, Leon Rojas Hanz, Uliana Kiseleva, Andreas Jupke

“…For this purpose, we used the differential pressure method to determine the hold-up, and two telecentric camera setups to determine the Sauter mean diameter, and the drop sedimentation velocity. The camera images were processed by YOLOv8 for drop detection and the ByteTrack algorithm for drop tracking, achieving high accuracy on unseen data. …”
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An automation monitoring system for the production facility work by Артем Бронніков, Альона Коломієць, Олег Юрченко

“… The subject of research in the article is the application of technology and control algorithms in the automation system for monitoring the operation of the instrument building room. …”
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An Integrated Spatial-Spectral Denoising Framework for Robust Electrically Evoked Compound Action Potential Enhancement and Auditory Parameter Estimation by Fan-Jie Kung

“…This study proposes a two-stage preprocessing denoising (TSPD) algorithm to address this issue and enhance ECAP signals. …”
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