Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

“…The proposed genetic algorithm-based ECC-key generation process involves several stages: chromosome initialization, fitness evaluation, selection, uniform crossover, and mutation. …”
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Hybrid algorithms for geospatial analysis of dam location points in protective tasks for protected areas by S. Rodriguez Vasquez, N. V. Mokrova

“…The goal is to speed up computational time, which is a critical variable for the entire key point detection process, and to suggest potential areas that do not pose a threat to biodiversity. …”
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A Deep Learning-Based Approach for Predicting Michaelis Constants from Enzymatic Reactions by Yulong Li, Kai Wang

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Deep Eutectic Solvents as Candidates for Lithium Isotope Enrichment by Jesse E. Smith, Kori D. McDonald, Dale A. Hitchcock, Brenda L. Garcia-Diaz

“…Unfortunately, the lithium-6 enrichment methods are limited to the COLEX process, which leaves behind an alarming amount of mercury waste as a potential environmental contaminant. …”
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Effect of bit-size reduced half-precision floating-point format on image pixel characterization for AI applications by J. Jean Jenifer Nesam, S. Sankar Ganesh, Sitharthan Ramachandran

“…For any image application, it becomes necessary to monitor the area and power trade-offs related to the amount of bits used to process the raw data. This work assists in selecting the bit-size for internal computations based on the accuracy requirements of the application by reporting the area, and power for various bit size reductions. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…This framework innovatively expands the iterative process of sparse Bayesian compressed sensing using convolutional neural networks and Transformer. …”
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STUDY OF THE INFLUENCE OF CRACKS ON THE BEARING CAPACITY OF REINFORCED CONCRETE PLATES USING THE PRINS CALCULATION COMPLEX by K. R. Aydemirov, V. P. Agapov

“…These algorithms assume the use of the same computational scheme in the process of solving the problem. …”
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AURA-Depth: Attention-Based Uncertainty Reduction and Feature Aggregation Depth Network by Youngtak Na, Sungho Woo, Soonyoung Lee, Byung Jun Kang

“…The main task employs a multi-branch architecture to process RGB image, dense depth map, and triangulated depth map. …”
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High-Order and Interactive Perceptual Feature Learning for Medical Image Retargeting by Mingjuan Ma, Yuehong Zhang

“…Computed tomography (CT) imaging is a valuable technique for detecting lesions and injuries in internal structures of the human body. …”
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The Effect of Platelet-Rich Fibrin (PRF) in Accelerating Periodontal Regeneration: A Randomized Controlled Clinical Trial by Ashwini Dhopte, Konsam Bidya Devi, KS Pandaw, Anamika Rani, Sachin Chand, Hiroj Bagde

“…Furthermore, cone-beam computed tomography (CBCT) was used to evaluate bone regrowth radiographically. …”
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A New Approach to Estimate Real-Time Traveling Speed with Accelerometer by Xiaojie Zong, Xiangji Wen

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Automated Recipe Generation AI Tool from Food Images using Machine Learning. Approach for Ingredient Extraction and Cooking Instructions by Lwamaza, Eddy, Nuwasiima, Happy

“…Additionally, it examines image processing techniques used in recipe generation AI tools, sourced from reputable platforms such as Google Scholar and IEEE. …”
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CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction by Xianfang Tang, Yawen Hou, Yajie Meng, Zhaojing Wang, Changcheng Lu, Juan Lv, Xinrong Hu, Junlin Xu, Jialiang Yang

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Design and motion analysis of a coal mine robot with variable wheel diameter by Liguo Han, Fei Ding, Lijuan Zhao, Peng Li, Chuanzong Li, Mingjun Liu, Liangliang Ren, Yuhao Li

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Bursting Behavior in the System of Coupled Oscillators with Delay and its Statistical Analysis by S. D. Glyzin, E. A. Marushkina

“…The statistical analysis of random quantities derived from the dynamics of interaction of a pair of neuron-type oscillators are presented. It is shown that computation of some statistical characteristics of the process allows, with enough precision, to distinguish two types of orbits, while their phase portraits, Lyapunov dimension and time plots are slightly different.…”
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Metaheuristic Optimization of Wind Turbine Airfoils with Maximum-Thickness and Angle-of-Attack Constraints by Jinane Radi, Jesús Enrique Sierra-García, Matilde Santos, Carlos Armenta-Déu, Abdelouahed Djebli

“…This methodology can obtain results more quickly and with lower computational cost, in addition to integrating these two design parameters into the optimization process, aspects that have been largely neglected in previous works. …”
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Method for estimating non-measurable parameters of gas turbine engines considering variations in technical condition by Sergiy Yepifanov, Oleksii Bondarenko

“…The subject of this study is the estimation of non-measurable parameters of a gas turbine engine's operating process based on a limited set of measured parameters. …”
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Transfer and deep learning models for daily reference evapotranspiration estimation and forecasting in Spain from local to national scale by Yu Ye, Aurora González-Vidal, Miguel A. Zamora-Izquierdo, Antonio F. Skarmeta

“…The results showed that with three or more climatic variables, the TL process can consistently reduce errors by using an appropriate amount of new data to retrain the models. …”
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NEUTROSOPHIC ASSESSMENT OF STUDENT MATHEMATICAL SKILLS by Майкл Воскоглоу

“…This gives a strong indication that the use of computers in the teaching process helps more the mediocre and weak students and not so much the good students.…”
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Optimizing Screw Fixation in Total Hip Arthroplasty: A Deep Learning and Finite Element Analysis Approach by Jacob Stroud, Emily T. Yan, Jacob Anthony, Kyle Walker, Chung-Hyun Goh

“…The design optimization process was conducted to refine key implant parameters before training the deep learning surrogate model. …”
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