Methodology fundamentals for investigating violations of the laws and customs of war by O. O. Khan, O. V. Manyk

“…A typical structure of a separate methodology for investigating violations of the laws and customs of war has been proposed, which includes the following elements (blocks): 1) forensic characteristics of a war crime; 2) circumstances to be established; 3) peculiarities of detecting a crime and initiating criminal proceedings; 4) typical investigative situations, tasks and algorithms of the investigator regarding actions at the initial stage of the investigation; 5) typical investigative situations, tasks and algorithms of the investigator regarding actions at the next stage of the investigation; 6) organisation and planning of the investigation, interaction of the investigator with other subjects of criminal proceedings; 7) tactics of certain procedural actions: public and covert investigative (detective) actions, measures to ensure criminal proceedings, as well as tactical operations. …”
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Implementation and Performance of Lightweight Authentication Encryption ASCON on IoT Devices by Gabriela Cagua, Valerie Gauthier-Umana, Carlos Lozano-Garzon

“…Lightweight cryptographic algorithms have emerged to address these challenges, with ASCON gaining recognition for its robustness and efficiency. …”
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Process mining applications in healthcare: a systematic literature review by Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro

“…To achieve this goal, several articles focusing on the algorithms and data employed were selected and analyzed. …”
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Registered report protocol: A scoping review to identify potential predictors as features for developing automated estimation of the probability of being frail in secondary care. by Dirk H van Dalen, Angèle P M Kerckhoffs, Esther de Vries

“…We aim to identify potential predictors that could be used as features for modeling algorithms on the basis of routine hospital EHR data to incorporate in an automated tool for estimating the probability of being frail.…”
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An Infrared Small Moving Target Detection Method in Complex Scenes Based on Dual-Region Search by Huazhao Cao, Yuxin Hu, Ziming Wang, Jianwei Yang, Guangyao Zhou, Wenzhi Wang, Yuhan Liu

“…However, most existing algorithms for detecting small targets in infrared imagery encounter difficulties in achieving both high accuracy and speed, particularly in complex scenes. …”
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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

“…The study also employed Support Vector Regression (SVR), Gradient Boosting Regression (GBR), and Random Forest (RF) algorithms to predict Peak Particle Velocity (PPV) values. …”
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An Application of Modified S-CLSVOF Method to Kelvin-Helmholtz Instability and Comparison with Theoretical Result by Naoki Shimada, Mako Sato, Yuta Yaegashi, Thorsten Koch, Thi Thai Le

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A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

“…To reduce the death rates and propose accurate treatment, this paper presents a smart IoT-based application using machine learning algorithms for the human brain hemorrhage diagnosis. …”
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A Dynamic Probabilistic Based Broadcasting Scheme for MANETs by Kannan Shanmugam, Karthik Subburathinam, Arunachalam Velayuthampalayam Palanisamy

“…A reasonable number of routing algorithms have been suggested for reducing the lethal impact of flooding the RREQ packets. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…In this paper, we address the issues behind high-performance Multi-Object Tracking (MOT) algorithms for a real-world urban transportation scenario. …”
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Mathematical Model and Characteristics of the Induction Motor with a Power Supply from a Current Source by V. S. Malyar, A. V. Malyar

“…The specific features of the algorithms for calculating transients, steady-state modes and static characteristics are discussed. …”
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An Enhanced Deep Neural Network for Predicting Workplace Absenteeism by Syed Atif Ali Shah, Irfan Uddin, Furqan Aziz, Shafiq Ahmad, Mahmoud Ahmad Al-Khasawneh, Mohamed Sharaf

“…In this paper, we propose Neural Networks and Deep Learning algorithms that can predict the behavior of employees towards punctuality at workplace. …”
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Quaternion modeling of the helical path for analysis of the shape of the DNA molecule by A. F. Muterko

“…Taken together, these algorithms will be useful both in the in silico analysis of relatively short DNA fragments as well as in topological mapping of whole genomes.…”
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A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data by Masoud Najafzadeh, Jaber Pouladi, Ali Daghigh, Jamal Beiza, Sima Shahmohamadi

“…In order to show the effectiveness of the proposed algorithms, a 9-bus system is defined by MATLAB software and also defining different line lengths and line characteristics in different buses. …”
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Development of Engineering Models of Nanosatellites for Student Training by V. Е. Evchik, A. A. Spiridonov, D. V. Ushakov, V. S. Baranova, I. A. Shalatonin, V. A. Saechnikov

“…The developed complexes make it possible to carry out term papers, theses, and master’s works related to the design of hardware and software for nanosatellites and a ground station, the setting up of space experiments, the development of new algorithms and a flight program for ultra-small satellites.…”
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Comparison of In Silico Tools for Splice-Altering Variant Prediction Using Established Spliceogenic Variants: An End-User’s Point of View by Woori Jang, Joonhong Park, Hyojin Chae, Myungshin Kim

“…This suggests that deep learning algorithms outperform traditional probabilistic approaches and classical machine learning tools in predicting the de novo and cryptic splice sites.…”
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Web search results processing in an information support system for decision-making processes by S. F. Lipnitsky, L. V. Stepura

“…The proven properties of such structures provide algorithmization of information processes in the model under consideration.Conclusion. …”
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A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

“…A lot of that can be attributed to the recent advancements in machine learning (ML) and deep learning (DL) as a whole, the power of deep neural networks and the incorporation of them into reinforcement learning algorithms and techniques. This marriage of deep neural networks and traditional reinforcement learning methods has enabled reinforcement learning algorithms to achieve incredible results in use-cases that were previously deemed to be too complex. …”
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SYNTHESIS METHODS OF ALGEBRAIC NORMAL FORM OF MANY-VALUED LOGIC FUNCTIONS by A. V. Sokolov, O. N. Zhdanov, O. A. Ayvazian

“…The results could be the basis for further theoretical research and practical applications such as: the development of new cryptographic primitives, error-correcting codes, algorithms of data compression, signal structures, and algorithms of block and stream encryption, all based on the perspective principles of many-valued logic. …”
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A novel transmission-augmented deep unfolding network with consideration of residual recovery by Zhijie Zhang, Huang Bai, Ljubiša Stanković, Junmei Sun, Xiumei Li

“…Nevertheless, these iterative algorithms suffer from the high computational complexity. …”
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