PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing by Fatemeh Jafarinejad, Marziea Rahimi, Maryam Khodabakhsh, Seyedehfatemeh Karimi

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Modeling recurrent heart failure risk in type 2 diabetes: impact of flexible HbA1c trajectories using nonhomogeneous Poisson processes by Di Cui, Haiyan Xu, Xiuju Fu, Stefan Ma, Yong Mong Bee

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Bioinspired materials for batteries: Structural design, challenges and future perspective by Wasif ur Rehman, Yanan Ma, Zahoor khan, Fatima Zahra Ait Laaskri, Jiawei Xu, Youlong Xu, Hamid Rehman, Umar Farooq, Ali Altalbe, Jian Li

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Track Detection Algorithm Based on Trace Correlation Using Hough Transform by A. A. Monakov

“…In addition, a large amount of memory and computational operations for the accumulator maintenance significantly increase the computation load of the trajectory processor.Aim. …”
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A Novel Scale for Inconsistency Reduction in the Pair-Wise Comparison Matrices by MalyadaVommi Amukta, Vommi Vijaya babu

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MSKT: multimodal data fusion for improved nursing management in hemorrhagic stroke by Ting Zhou, Dandan Li, Jingfang Zuo, Aihua Gu, Li Zhao

“…Results The proposed MSKT-NSGP model outperformed traditional algorithms in prediction accuracy, computational efficiency, and uncertainty handling. For hematoma expansion prediction, it achieved 85.5% accuracy, an area under the curve (AUC) of 0.87, and reduced mean squared error (MSE) by 18% compared to the sparse variational Gaussian process (SVGP). …”
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Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming by Mohammed Yunus, Mohammad S. Alsoufi

“…Many researchers are currently working with different perspectives on this FSW process for various combinations of materials. The general input process parameters are the thickness of the plate, axial load, rotational speed, welding speed, and tilt angle. …”
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RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

“…Conclusions: the use of a deep neural network at the stage of noise reduction in the input file is justified, as it provides an increase in the WER metric by almost 25%, and an increase in the computing power of the graphics processor and the number of stream processors provide acceleration only for large input audio files. …”
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Dissociated neuronal cultures as model systems for self-organized prediction by Amit Yaron, Zhuo Zhang, Dai Akita, Tomoyo Isoguchi Shiramatsu, Zenas C. Chao, Hirokazu Takahashi, Hirokazu Takahashi

“…Dissociated neuronal cultures provide a powerful, simplified model for investigating self-organized prediction and information processing in neural networks. This review synthesizes and critically examines research demonstrating their fundamental computational abilities, including predictive coding, adaptive learning, goal-directed behavior, and deviance detection. …”
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ADVANCED SYSTEMS FOR RELIABLE STORAGE OF BIOMEDICAL INFORMATION by H. Hristov, P. Batalov

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Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…On embedded hardware, the system processes at 28 FPS, showing higher robustness against environmental noise and lower computational overhead compared with existing methods. …”
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Experimental Investigation on the 3D Printing of Nylon Reinforced by Carbon Fiber through Fused Filament Fabrication Process, Effects of Extruder Temperature, and Printing Speed by Mahmoud Moradi, Zeinab Malekshahi Beiranvand, Nahid Salimi, Saleh Meiabadi, Jonathan Lawrence

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DELTa: Dynamic Energy-and-Latency-Aware Task Scheduling for Fog-Cloud Paradigm by Abhijeet Mahapatra, Rosy Pradhan, Santosh K. Majhi, Kaushik Mishra

“…For parallel processing, a Self-adaptive Fuzzy C-means++ (SaFCm++) approach has been applied to cluster the Fog computing nodes depending on the heterogeneity of the computational nodes. …”
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Analog and digital systems and high-performance solutions in problems of brain research and modeling by N. I. Ananyeva, A. V. Bogdanov, D. E. Gushchanskiy, A. B. Degtyarev, N. M. Zalutskaya, K. A. Lysov, N. G. Neznanov, O. O. Iakushkin

“…Paper highlights areas of particular interest such as working with external storage, distributed data processing and visualization of acquired results. For each of them we survey existing options for creating cloud-based distributed computing solutions that can solve important challenges faced by researchers in their work.…”
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Hybrid approaches and human brain activity modelling by A. V. Bogdanov, D. E. Gushchanskiy, A. B. Degtyarev, K. A. Lysov, N. I. Ananyeva, N. G. Neznanov, N. M. Zalutskaya

“…A different hybrid approach is based on neuromorphic computing. The idea we utilize is combination of artificial neural networks with specialized microcircuits. …”
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Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis by Rohitkumar R. Upadhyay, Sahadeo Padhye

“…Fully Homomorphic Encryption (FHE) schemes represent a groundbreaking development that enables computations on encrypted data while ensuring data privacy. …”
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TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing by Amna Khatoon, Weixing Wang, Mengfei Wang, Limin Li, Asad Ullah

“…Our framework addresses critical gaps in existing methodologies, such as high computational demands and limited real-time processing capabilities, by leveraging model compression, quantization, and pruning techniques. …”
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Fuzzy Rough Set Models Based on Fuzzy Similarity Relation and Information Granularity in Multi-Source Mixed Information Systems by Pengfei Zhang, Yuxin Zhao, Dexian Wang, Yujie Zhang, Zheng Yu

“…As a pivotal research method in the field of granular computing (GrC), fuzzy rough sets (FRSs) have garnered significant attention due to their successful overcoming of the limitations of traditional rough sets in handling continuous data. …”
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The present situation and shifts observed in wetlands within the St. Lawrence Seaway region of Canada, utilizing imagery from the Landsat archive and the cloud-based platform Googl... by Meisam Amani, Mohammad Kakooei, Rebecca Warren, Sahel Mahdavi, Kevin Murnaghan, Arsalan Ghorbanian, Amin Naboureh

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