Study of adaptive control system of asynchronous electric drive belt conveyor by V. N. Meshcheryakov, E. S. Mantukhov, A. V. Sdvizhkov

“…With the help of computer modeling, graphs of transient processes in the asynchronous electric drive system with vector control are obtained, the results of modeling dynamic characteristics and quality indicators in systems with a speed sensor mounted on the motor shaft and with speed observers. …”
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Virtual and Augmented Reality Applications in Landscape Design and Project Presentation Techniques by Orhun Soydan, Ahmet Benliay

“…Each set consists of hand-drawn perspective image, computer aided perspective image, stereoscopic 360-degree VR image and an augmented reality model. …”
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Fast Visual Tracking With Robustifying Kernelized Correlation Filters by Qianbo Liu, Guoqing Hu, Md Mojahidul Islam

“…Moreover, it runs on a single central processing unit at a speed of 69.5 frames per second, which is suitable for real-time application.…”
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Numerical Simulation of Wave-Induced Scour in Front of Vertical and Inclined Breakwaters by Xin Liu, Tomoaki Nakamura, Yong-Hwan Cho, Norimi Mizutani

“…While previous models accurately depict fluid and sediment interactions, they each have limitations and require significant computational resources, especially when simulating complex processes. …”
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APPLICATION OF POPULATION MODELING TECHNIQUES TO WILD TURKEY MANAGEMENT by William F. Porter, H. Brian Underwood, Daniel J. Gefell

“…This paper compares 2 distinct styles of computer modeling: detailed models that incorporate highly specific aspects of life history, and general models that rely on a few parameters to integrate life history processes. …”
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MATRIX ANALYSIS OF THE TOPOLOGY OF ELECTRICAL CIRCUITS IN SOLAR PANELS AND PLANTS USING CONTROLLED CONNECTIONS by Д.В. Бондаренко

“…It is also shown that it is convenient to separate a unified calculation matrix to a generation matrix, a matrix of parametric processes and a matrix of connections. It is noted that the use of matrix analysis to the calculation of electric circuits allows the use of algorithms for model computer creation and computer simulation. …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

“…The current image registration models have problems such as low feature point matching accuracy, high memory consumption, and significant computational complexity in heterogeneous image registration, especially in complex environments. …”
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Quantum key distribution through quantum machine learning: a research review by Krupa Purohit, Ajay Kumar Vyas

“…Key research areas in quantum cryptography include Quantum Key Distribution (QKD), eavesdropping detection, QSDC, security analysis of QKD protocols, post-quantum cryptography, Quantum Network Security & Intrusion Detection, Quantum-secure communication beyond QKD, quantum random number generation, Quantum Secure Multi-Party Computation (QSMPC), Quantum Homomorphic Encryption (QHE), and privacy-preserving computation. …”
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Homotopy Analysis Transform Method for Solving Systems of Fractional-Order Partial Differential Equations by Fang Wang, Qing Fang, Yanyan Hu

“…By appropriately selecting initial terms, the convergence speed and computational accuracy can be significantly improved. …”
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TEXT CLUSTERING ONLINE LEARNING OPINION DURING COVID-19 PANDEMIC IN INDONESIA USING TWEETS by Maulida Fajrining Tyas, Anang Kurnia, Agus Mohamad Soleh

“…After pre-processing, five sample sizes are selected from 28300 tweets which are 250, 500, 2500, 10000 and 20000 to conduct K-Means clustering. …”
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Lightweight Domestic Pig Behavior Detection Based on YOLOv8 by Kaining Zhang, Yu Zhang, Hongli Xu

“…Ultimately, we implement BiFPN in the neck network to replace the original FPN, which streamlines the neck network and enhances its feature-processing capabilities. The test findings indicated that, in comparison to the original YOLOv8n model, the precision, recall, and mean average precision at 50% remain constant, while the parameters and floating-point computations are diminished by 59.80% and 39.50%, respectively. …”
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Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification by Jyotirmayee Rautaray, Ali B.M. Ali, Meenakshi Kandpal, Pranati Mishra, Rzgar Farooq Rashid, Farzona Alimova, Mohamed Kallel, Nadia Batool

“…APTOS blindness detection dataset comprising 3662 images across five severity classes is collected, pre-processed, normalized, split and augmented to address class imbalance. …”
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3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…The SC module effectively prepares summarized features for robust global dependency processing by the Mamba component. 3D-SCUMamba explicitly addresses the prevalent limitations in current deep learning methods by prioritizing robust feature representation, training stability, and substantial accuracy improvements. …”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

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Radio Spectrum Sensing Framework for Large-Scale, High-Density IoT Sensor Networks by Partemie-Marian Mutescu, Alexandru Lavric, Adrian-Ioan Petrariu, Alin-Mihai Cailean, Valentin Popa

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Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition by Jinghang Liu, Xiangyuan Xu, Yan Qiu, Chunzhi Wang

“…Nevertheless, current gait recognition methodologies predominantly rely on unimodal approaches, leading to suboptimal recognition performance. When processing multimodal data, existing algorithms frequently encounter challenges such as integration difficulties and insufficient fusion due to data heterogeneity across different modalities. …”
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An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation by Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, Mohd Asif Shah, Sami Azam

“…The input datasets are processed by selecting the largest lung portion of each lung CT scan using an automated selection approach and a 64 × 64 input size is utilized to reduce computational complexity. …”
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Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise Using Cellular Automaton Method by Yuri Matveev, Fares Abu-Abed, Leonid Chernishev, Sergey Zhironkin

“…Software and algorithmic support for an integrated system for the visualization and analysis of fire consequences at an industrial enterprise has been developed; the efficiency of the system has been confirmed by computational analysis and actual measurement. It has been shown that the future development of the visualization of dangerous zones during fires is associated with the integration of the Bayesian approach and stochastic forecasting algorithms based on Markov chains into the simulation model of a dangerous zone for the efficient assessment of uncertainties associated with complex atmospheric processes.…”
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LPRLC: Linear predictive run length coding to improve energy consumption of wireless body area networks by Mahdieh Hajiloo Vakil, Zahra Shirmohammadi

“…With the increasing volume of these data, energy consumption for processing and transmission rises, leading to energy depletion. …”
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Early detection of vascular catheter-associated infections employing supervised machine learning - a case study in Lleida region by Radu Spaimoc, Jordi Mateo, Francesc Solsona, Alfredo Jover-Sáenz, Fernando Barcenilla, María Ramírez-Hidalgo, Marcos Serrano, Miquel Mesas, Dídac Florensa

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