Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D by Yijun WANG, Youxu ZHANG, Dakun LIU, Guifen CHEN

“…In ultra-dense D2D communication, the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding, but some rational relay devices may delay or refuse to forward due to their own considerations, thus affecting the user experience.From the perspective of selfish behavior of relay devices, a method to identify selfish relay devices in D2D communication was proposed, and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly, three relay identification attribute factors, namely joint interest degree (JID), forwarding history ratio (FHR) and relay physical state (RPS) were defined, and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly, based on the TOPSIS (technique for order of preference by similarity to ideal solution) method, the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms, the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate, system average throughput and average time delay.…”
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Optimization of Lattice-Based Cryptographic Key Generation using Genetic Algorithms for Post-Quantum Security by Tara Nawzad Ahmad Al Attar, Rebaz Nawzad Mohammed

“…However, practically implementing LBC is faced with key-generation and optimization difficulties, mainly because of its enormous key sizes and computational overhead. …”
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Augmented Reality for Learning Algorithms: Evaluation of Its Impact on Students’ Emotions Using Artificial Intelligence by Mónica Gómez-Ríos, Maximiliano Paredes-Velasco, J. Ángel Velázquez-Iturbide, Miguel Ángel Quiroz Martínez

“…Augmented reality is an educational technology mainly used in disciplines with a strong physical component, such as architecture or engineering. …”
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A Comparative Analysis of Machine Learning Algorithms for Classification of Diabetes Utilizing Confusion Matrix Analysis by Maad M. Mijwil, Mohammad Aljanabi

“…The study determined that three algorithms are very effective at prediction. Mainly, logistic regression and Adaboost had a classification rate above 92%, and the naive bayes algorithm achieved a classification rate above 90%. …”
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Intra-Net Cognitive Radio Intelligent Utility Maximization using Adaptive PSO-Gradient Algorithm by Imran Ullah Khan

“… Artificial intelligence now days are mainly dependent on deep learning techniques as it is rapidly growing and capable to outperform other approaches and even human at various problems. …”
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An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm by Alfred Adutwum Amponsah, Fei Han, Jeremiah Osei-Kwakye, Ernest Bonah, Qing-Hua Ling

“…Gravitational Search Algorithm is introduced to preserve the algorithm’s ability to maintain diversity. …”
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A Fast Rail Profile Point Cloud Matching Algorithm Based on Overlay Weight ICP by ZUO Wei, LI Jianfeng, LUO Zihe

“…The factors that affect rail's performance and quality mainly include fractures, abrasion, scratches, wear, etc. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Comparative experiments are also conducted to assess and analyze the detection performance of the improved algorithm against other algorithms.This study mainly addresses the following aspectsConclusionsThis study mainly addresses and improves the issues of missed and false detections caused by large-scale variations, dense small target distributions, and complex backgrounds in UAV aerial images. …”
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Estimation of the Ultimate Bearing Capacity of the Rocks via Utilization of the AI-Based Frameworks by Bianca Damico, Matteo Conti

“…The approach adopted here is new and solves the problem using KNN combined with two modern nature-inspired optimization frameworks, namely the Honey Badger Algorithm (HBA) and Equilibrium Slime Mould Algorithm (ESMA). …”
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Evaluation of the Vitros® Anti-T. cruzi assay for its incorporation into the Trypanosoma cruzi infection diagnostic algorithm by Miriam Campos-Ruiz, Jun Hao Wang-Wang, Belén Rivaya, Beatriz Rodriguez-Ponga, Noelia López, Victoria González, Pere-Joan Cardona, Gema Fernández-Rivas

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A Review of QoS-Driven Task Scheduling Algorithms and Their Impact on Data Quality in Process Management by Anupam Yadav, Ashish Sharma

“…Our finding suggests that, Current methodologies mainly employ genetic algorithms and particle swarm optimization, with CloudSim as a popular simulation tool. …”
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An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations by Ruohua Yan, Chen Wang, Chao Zhang, Xiaohang Liu, Dong Zhang, Xiaoxia Peng

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Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms by Czangyeob Kim, Myeongjun Jang, Seungwan Seo, Kyeongchan Park, Pilsung Kang

“…Previous methods for system intrusion detection have mainly consisted of those based on pattern matching that employs prior knowledge extracted from experts’ domain knowledge. …”
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Optimal Scheduling of Hydro-photovoltaic Complementary Systems Based on Multi-objective Moth-flame Algorithm by LI Ze-hong, YUAN Xiao-feng, XIAO Peng, ZHANG Tai-heng, QIN Hui

“…[Objectives] Existing reservoir scheduling studies mainly focus on pure hydropower scheduling, with limited consideration of renewable energy integration. …”
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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation by Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

“…Quality assurance of clinical data, mainly through predictive quality algorithms and machine learning, is essential to mitigate risks such as misdiagnosis, inappropriate treatment, bias, and compromised patient safety. …”
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THE MAIN RESULTS OF COOPERATION BETWEEN THE V.A. NASONOVA RESEARCH INSTITUTE OF RHEUMATOLOGY AND RESEARCH CENTERS OF EUROPE WITHIN THE EUSTAR (EULAR SCLERODERMA TRIALS AND RESEARCH... by L. P. Ananyeva, M. N. Starovoitova, S. Sh. Shabanova

“…New diagnostic criteria for SS and an algorithm for its very early, preclinical diagnosis have been proposed. …”
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APPLICATION OF THE EVOLUTIONARY PARADIGM TO DESIGNING ARCHITEСTURE OF A NEURAL NETWORK FOR RECOGNIZING THE DISTORTED TEXT by Y. A. Bury, D. I. Samal

“…The paper presents an attempt to apply of evolutionary methods to the design and training of a system for recognizing distorted text.Over the past decades, artificial neural networks are widely used in many areas of artificial intelligence, such as forecasting, optimization, data analysis, pattern recognition and decision making. …”
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Body mass index as the main predictor for length of stay in COVID-19 patients with mild and moderate symptoms: a cross-sectional study in COVID-19 emergency hospital in Indonesia by Siti Rahayu Nadhiroh, Anisa Lailatul Fitria, Armedy Ronny Hasugian, Erwin Astha Triyono, Nono Tri Nugroho, Alfadhila Khairil Sinatrya, Hazreen B Abdul Majid

“…The Chi-square automatic interaction detection (CHAID) algorithm was employed for model building. Results: Most participants were overweight (34.6%) and obese (17.2%). …”
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Surrogate-assisted evolutionary multi-objective optimisation of office building glazing by Alexander E. I. Brownlee, Ernest R. O. Vanmosuinck

“…This allows the algorithm to find solutions that are better than the algorithm without a surrogate in the same timeframe. …”
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Simulation of direct mapped, k-way and fully associative cache on all pairs shortest paths algorithms by A. A. Prihozhy

“…The miss rate strongly depends on the executed algorithm. The all pairs shortest paths algorithms solve many practical problems, and it is important to know what algorithm and what cache type match best. …”
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