Algorithm of Development and Methodology of Using Software for Information Conversion in the Educational Process by V. A. Gerasimov, O. V. Boyprav

“…The ways of improving the proposed algorithm aimed at increasing the number of academic disciplines, within which it is advisable to use the software developed in accordance with it, are determined.…”
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Algorithms of optimization and standardization of surgical care in destructive forms of Charcott foot by K. A. Koreyba, E. P. Krivoshchekov, N. A. Lysov, L. N. Gatina, P. S. Lukin

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Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment by U.K. Jena, P.K. Das, M.R. Kabat

“…The robustness of the algorithm has been validated by comparing the results of the QMPSO obtained from the simulation process with the existing load balancing and scheduling algorithm. …”
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CNN-Based Kidney Segmentation Using a Modified CLAHE Algorithm by Abror Shavkatovich Buriboev, Ahmadjon Khashimov, Akmal Abduvaitov, Heung Seok Jeon

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Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation by Nithika Vivek, Karthik Ramesh

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A numerical algorithm based on Jacobi polynomials for FIDEs with error estimation by K. Sadri, D. Amilo, E. Hincal

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Sigmoid-Function-Based Adaptive Pelican Optimization Algorithm for Global Optimization by A. F. S. Yussif, S. Adjei, B. E. Wilson

“… This paper introduces the Sigmoid-function-based Adaptive Pelican Optimization Algorithm (MPOA), an enhanced version of the traditional Pelican Optimization Algorithm (POA) aimed at improving the POA's performance. …”
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Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

“…Criminology is a process that aims to identify crime characteristics. This study considered the development of crime prediction prototype model using decision tree (J48) algorithm because it has been considered as the most efficient machine learning algorithm for prediction of crime data as described in the related literature. …”
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Systems and Algorithms for Wireless Sensor Networks Based on Animal and Natural Behavior by Sandra Sendra, Lorena Parra, Jaime Lloret, Shafiullah Khan

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A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

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Optimization algorithms for multivariate sampling reduction using spatial-temporal data by Tamara Cantú Maltauro, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo

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Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography by Koji Tamai, Keiho Imanishi, Masaki Terakawa, Masato Uematsu, Minori Kato, Hiromitsu Toyoda, Akinobu Suzuki, Shinji Takahashi, Akito Yabu, Yuta Sawada, Masayoshi Iwamae, Yuto Kobayashi, Yuki Okamura, Hiroshi Taniwaki, Yuki Kinoshita, Masatoshi Hoshino, Hitoshi Tabuchi, Hiroaki Nakamura, Hidetomi Terai

“…To prevent such fractures in patients with cervical disease, treating osteoporosis is an important strategy. This study aimed to validate the diagnostic yield of a deep learning algorithm for detecting osteopenia/osteoporosis using cervical radiography and compare its diagnostic accuracy with that of spine surgeons. …”
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A review of plant leaf disease identification by deep learning algorithms by Junmin Zhao, Laixiang Xu, Zizhen Ma, Juncai Li, Xiaowei Wang, Yunchang Liu, Xiaojie Du

“…Deep learning-based plant leaf disease recognition is a viable alternative to artificial methods that are useless and inaccurate. The proposed work aims to combine plant leaf disease datasets from various countries, review current research and progress in deep learning algorithms for plant disease recognition, and explain how different types of data are developed and used in this area using different deep learning networks. …”
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Optimization of the Statin Therapy Algorithm in Outpatient Practice: Adherence and Economic Benefits by S. A. Davitashvili, D. V. Nebieridze, N. M. Akhmedzhanov, A. S. Lishuta, A. S. Safaryan

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Efficient cluster center optimization: A novel hybrid metaheuristic by Saeideh Barkhordari Firozabadi, Seyed Abolfazl Shahzadeh Fazeli, Jamal Zarepour Ahmadabadi, Seyed Mehdi Karbassi

“…This research introduces a new hybrid method by merging the capabilities of two metaheuristic algorithms: Harris hawks optimization algorithm (HHO) and slime mould algorithm (SMA). …”
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Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture by Layla M. Martínez Guevara, Pablo Javier Vidal, Ana Carolina Olivera, Emmanuel N. Millán

“…Results show that data type does not influence algorithm choice, and patterns related to data size behaviour are identified, aiding in defining security strategies.…”
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A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing by Peng Zhang, Mengyu Jin, Ming Wang, Jie Zhang, Junjie He, Peng Zheng

“…Pioneer researches on multi-objective batch machines scheduling mainly focus on evolutionary algorithms, failing to meet the online scheduling demand. …”
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Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis by Jianying Wang, Cheng Wang, Tianshu Zhang, Bineng Zhong

“…From the principle of independent component analysis (ICA) and the uncertainty of amplitude, order, and number of source signals, this paper expounds the root reasons for modal energy uncertainty, identified order uncertainty, and modal missing in output-only modal analysis based on ICA methods. Aiming at the problem of lack of comparison and evaluation of different ICA algorithms for output-only modal analysis, this paper studies the different objective functions and optimization methods of ICA for output-only modal parameter identification. …”
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An Algorithm of Train Operation Environment Recognition Based onEmbedded GPU Platform by XIONG Minjun, LI Chen, ZHANG Huiyuan, PENG Liantie, SU Zhen

“…Real-time detection of train operation environment is an important prerequisite for realizing automatic train operation. Aiming at the problems of low efficiency, poor accuracy and weak robustness of traditional train operation environment sensing algorithms, a real-time detection algorithm of train operation environment based on image instance segmentation is proposed. …”
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Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model. by Kanes Sumetpipat, Duangkamon Baowan

“…We derive analytical expression for the interaction energy between an atom and an infinite cylinder, and utilize the U-NSGA-III algorithm to optimize the system's energy by varying molecular positions and tube radius. …”
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