A secure data routing schema for WSN using Elliptic Curve Cryptography and homomorphic encryption by Mohamed Elhoseny, Hamdy Elminir, Alaa Riad, Xiaohui Yuan

“…The proposed encryption schema is built upon GASONeC algorithm (Elhoseny et al., 2014) that uses genetic algorithm to build the optimum network structure in the form of clusters. …”
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Projection Histogram-Assisted Estimation of Common Phase Error in Coherent Optical OFDM Systems by Zhengxuan Li, Yun Li, Junjie Ma, Jian Chen, Yingxiong Song, Min Wang

“…By simply counting and maximizing the number of the projection points fell into certain intervals, the tile angle can be obtained, which means that the common phase error is known. Compared with the conventional blind phase searching method, the proposed method shows similar performance and reduced complexity. …”
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Role of Artificial Intelligence in Minimizing Missed and Undiagnosed Fractures Among Trainee Residents by Sadat-Ali M, Al Omar HK, Alneghaimshi MM, AlHossan AM, Baragabh AM

“…This review was done to evaluate the accuracy of AI-assisted fracture detection and to compare with the residents in training.Methods: We searched all related electronic databases for English language literature between January 2015 and July 2023, Pub Med, Scopus, Web of Science, Cochrane Central Ovid Medline, Ovid Embase, EBSCO Cumulative Index to Allied Health Literature, with keywords of Artificial Intelligence, fractures, dislocations, X-rays, radiographs and missed diagnosis. …”
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Evaluation of Plaid Models in Biclustering of Gene Expression Data by Hamid Alavi Majd, Soodeh Shahsavari, Ahmad Reza Baghestani, Seyyed Mohammad Tabatabaei, Naghme Khadem Bashi, Mostafa Rezaei Tavirani, Mohsen Hamidpour

“…Two simulated matrices with different degrees of overlap and noise are generated and then the intrinsic structure of these data is compared with biclusters result. Also, we have searched biologically significant discovered biclusters by GO analysis. …”
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Breast thermography: a systematic review and meta-analysis by Ane Goñi-Arana, Jorge Pérez-Martín, Francisco Javier Díez

“…Additional documents were retrieved from the studies included in the systematic reviews that resulted from the search and by searching for the names of commercial systems. …”
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Machine learning applications for early detection of esophageal cancer: a systematic review by Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, Rayan Ebnali Harari

“…Methods We conducted a comprehensive systematic search of five databases (PubMed, Scopus, Web of Science, Wiley, and IEEE) using search terms such as “ML”, “Deep Learning (DL (“, “Neural Networks (NN)”, “Esophagus”, “EC” and “Early Detection”. …”
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Research on implementation of interventions in tuberculosis control in low- and middle-income countries: a systematic review. by Frank Cobelens, Sanne van Kampen, Eleanor Ochodo, Rifat Atun, Christian Lienhardt

“…Evaluations of diagnostic and screening algorithms were more frequent (n = 19) but geographically clustered and mainly of non-comparative design. …”
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Exploring the possibilities of MADDPG for UAV swarm control by simulating in Pac-Man environment by Artem Novikov, Sergiy Yakovlev, Ivan Gushchin

“…Future research should focus on comparing the effectiveness of MADDPG-trained models with multi-agent algorithms, such as Expectimax, Alpha-Beta Pruning, and Monte Carlo Tree Search (MCTS), to further understand the advantages and limitations of learning-based approaches compared with traditional decision-making methods in collaborative and adversarial UAV operations. …”
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Evaluation of the Deep Q-Learning Models for Mobile Robot Path Planning Problem by Mehmet Gök

“…Search algorithms such as A* or Dijkstra are generally used to solve the path planning problem for mobile robots. …”
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Discriminant Phase Component for Face Recognition by Naser Zaeri

“…Numerous face recognition techniques have been developed owing to the growing number of real-world applications. Most of current algorithms for face recognition involve considerable amount of computations and hence they cannot be used on devices constrained with limited speed and memory. …”
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Uso de inteligencia artificial para predecir complicaciones en cirugías de columna toracolumbar degenerativa: revisión sistemática by G. Ricciardi, J.I. Cirillo Totera, R. Pons Belmonte, L. Romero Valverde, F. López Muñoz, A. Manríquez Díaz

“…Additionally, 8 publications were included from other sources (Argentine Association of Orthopedics and Traumatology Library; manual citation search). In 5 (41.6%) articles, the effectiveness of artificial intelligence predictive models was compared with conventional techniques. …”
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[Translated article] Use of artificial intelligence to predict complications in degenerative thoracolumbar spine surgery: A systematic review by G. Ricciardi, J.I. Cirillo Totera, R. Pons Belmonte, L. Romero Valverde, F. López Muñoz, A. Manríquez Díaz

“…Additionally, 8 publications were included from other sources (Argentine Association of Orthopaedics and Traumatology Library; manual citation search). In 5 (41.6%) articles, the effectiveness of artificial intelligence predictive models was compared with conventional techniques. …”
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Ultra-Wide Color Gamut of Three-Primary and Four-Primary Laser-Based Displays With Large Circadian Tunability by Jingxuan Sun, Liyue Xu, Jingyi Cui, Zixin Huang, Qinzhen Lin, Ruoping Lian, Shaohua Lin, Haoyang Liu, Zhiyi Lin, Shanrong Ke, Xiaoting Xue, Rongting Jin, Xinqin Liao, Zhong Chen, Ziquan Guo

“…In order to evaluate the circadian effect of such LBDs, the circadian parameters, such as melanopic efficacy of luminous radiation (MELR), circadian action factor (CAF), and circadian stimulus (CS), are considered and employed in this investigation. The genetic algorithm (GA) is used to search for the optimal values of circadian parameters at a certain thresholds of color gamut. …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…We then use an empirical Bayes harmonization algorithm performed at the along-tract level, with the output being a lower dimensional space but still spatially informative. …”
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Multi-cohort study in gastric cancer to develop CT-based radiomic models to predict pathological response to neoadjuvant immunotherapy by Ze-Ning Huang, Hao-Xiang Zhang, Yu-Qin Sun, Xing-Qi Zhang, Yi-Fen Lin, Cai-Ming Weng, Chao-Hui Zheng, Ping-Li, Jia-Bin Wang, Qi-Yue Chen, Long-Long Cao, Mi Lin, Ru-Hong Tu, Chang-Ming Huang, Jian-Xian Lin, Jian-Wei Xie

“…Radiomic features were extracted from CT images, and a multi-step feature selection procedure was applied to identify the top 20 representative features. Nine ML algorithms were implemented to build prediction models, with the optimal algorithm selected for the final prediction model. …”
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An intrusion detection method based on system call sequence for train-mounted host devices by WANG Xue, WANG Lide, WANG Biao, XU Shuxian, WANG Chong

“…In this paper, the structure of Linux system and the principle of system call sequence were analyzed, the original data feature processing methods including feature extraction, bag-of-words, inverse-frequency processing and dimension reduction were designed, and an intrusion detection model based on Grid Search-K-Nearest Neighbor (GS-KNN) was created. The experimental results show that the accuracy of the method designed in this paper is 96.62%, and the method has certain advantages compared with other lightweight algorithms and can detect the network intrusion effectively.…”
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A Systematic Survey of Sparse Clustering by Josephine Bernadette M. Benjamin, Miin-Shen Yang

“…We also investigate the use of regularization terms in the sparse clustering algorithms. In this survey, we consider an extensive search on published papers as well as textbooks and discuss important results reported in the literature. …”
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A New Conjugate Gradient for Efficient Unconstrained Optimization with Robust Descent Guarantees by Hussein Saleem Ahmed

“… The Conjugate Gradient method is a powerful iterative algorithm aims to find the minimum of a function by iteratively searching along conjugate directions. …”
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Optimization of Base Location and Patrol Routes for Unmanned Aerial Vehicles in Border Intelligence, Surveillance, and Reconnaissance by Yao Liu, Zhong Liu, Jianmai Shi, Guohua Wu, Chao Chen

“…The performance of the two algorithms is analysed and compared through randomly generated instances.…”
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Bregman–Hausdorff Divergence: Strengthening the Connections Between Computational Geometry and Machine Learning by Tuyen Pham, Hana Dal Poz Kouřimská, Hubert Wagner

“…We propose new algorithms for computing Bregman–Hausdorff divergences based on a recently developed Kd-tree data structure for nearest neighbor search with respect to Bregman divergences. …”
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