A Comprehensive Survey on Machine and Deep Learning for Optical Communications by Mohammad Ali Amirabadi, S. Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen

“…While ML and DL offer immense potential, their application in optical communications is still in its early stages, with significant opportunities remaining unexplored. Many algorithms have yet to be fully deployed in practical settings, underscoring the emerging nature of this research area. …”
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Predicting Credit Card Fraud using Supervised Machine Learning Methods: Comparative Analysis by Güner Altan, Metin Recep Zafer

“…Based on their performances, five algorithms were recommended for this study.…”
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Use of Aposteriori Information in the Implementation of Radar Recognition Systems Using Neural Network Technologies by Dmitrii F. Beskostyi, Sergei G. Borovikov, Yurii V. Yastrebov, Ilya A. Sozontov

“…The development of modern MRRS has created objective prerequisites for the use of progressive and new methods and algorithms for the processing of signals using neural networks. …”
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Simple reparameterization to improve convergence in linear mixed models by Gregor GORJANC, Tina FLISAR, Jose Carlos MARTÍNEZ-ÁVILA, Luis Alberto GARCÍA-CORTÉS

“…Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. …”
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Generalized Shortest Path Problem: An Innovative Approach for Non-Additive Problems in Conditional Weighted Graphs by Adrien Durand, Timothé Watteau, Georges Ghazi, Ruxandra Mihaela Botez

“…Despite this aspect, finding the shortest path between two nodes remains a significant challenge in many applications, as it often becomes complex and time consuming. …”
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Artificial Intelligence in STEM Education: Interactive Handson Environment using Open Source Electronic Platforms by Danny Xie-Li, Esteban Arias Mendez

“…The main purpose is to motivate the participants to explode its creativity, improving their innovation skills to provide solutions for XXI century problems, better quality of life, health, among others. …”
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Fuzzy Logic Concepts, Developments and Implementation by Reza Saatchi

“…Fuzzy logic has been successfully combined with other artificial intelligence techniques such as artificial neural networks, deep learning, robotics, and genetic algorithms, creating powerful tools for complex problem-solving applications. …”
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StopSpamX: A multi modal fusion approach for spam detection in social networking by Dasari Siva Krishna, Gorla Srinivas

“…There are no concerns or problems if the data published is true and relevant. The main difficulty arises while we deal with the spam data. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…This study presents the main approaches, algorithms, and data processing methods, including geoinformation systems (GIS), clustering, optimization algorithms, and various types of neural networks such as convolutional, recurrent, and deep networks. …”
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GREEN ECONOMY AND HOLISTIC PLANNING BY ARTIFICIAL INTELLIGENCEAPPLICATION by STEVOVIC IVAN, HADROVIĆ SABAHUDIN, JOVANOVIC MIHAILO

“…Artificial intelligence (AI) is the main toolin the green economy development, as contemporary methodology addressing environmental sustainabilitywith all opportunities, problems and challenges. …”
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Risk Measurement of TAVR Surgical Complications Based on Unbalanced Multilabel Classification Approaches by Yue Zhang, Yuantao Xie

“…Transcatheter aortic valve replacement (TAVR) is a high-risk cardiovascular interventional procedure with a high incidence of postoperative complications, urgently requiring more refined risk identification and mitigation strategies. The main challenges in assessing the risk of TAVR complications lie in the scarcity of real-world data and the co-occurrence of multiple complications. …”
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REGIONS GROUPING IN CENTRAL SULAWESI PROVINCE BY TRANSMITTED DISEASE USING FUZZY GUSTAFSON KESSEL by Mohammad Fajri, Rais Rais, Lilies Handayani

“…Health is one of the main indicators in determining the human development index. …”
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Comparison of Matrix Decomposition in Null Space-Based LDA Method by Carissa Devina Usman, Farikhin, Titi Udjiani

“…Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear Discriminant Analysis (LDA) technique, might result. …”
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FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION by Narkez Boranbayeva, Batyr Orazbayev, Leila Rzayeva, Zhalal Karabayev, Murat Alibek, Baktygul Assanova

“…The paper presents a procedure for developing and applying nonlinear regression models, describes algorithms for synthesizing linguistic models, and provides examples of their use to optimize the operation of catalytic cracking units. …”
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Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements by Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini

“…Abstract Upper-limb movement characterization is crucial for many applications, from research on motor control, to the extraction of relevant features for driving active prostheses. …”
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Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns by Zeeshan Ali, Jihoon Moon, Saira Gillani, Sitara Afzal, Muazzam Maqsood, Seungmin Rho

“…The majority of current studies are concerned with the classification of Parkinson’s disease. Furthermore, many vision-based algorithms rely on human gait silhouettes or gait representations and employ traditional similarity-based methodologies. …”
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Geometrical Similarities Between Metallic Real and Computationally Simulated Grain Structures (Equiaxed Polygonal Grains) by Adán Ramírez-López, Juan Alberto Alcántara-Cárdenas, Ángel de Jesús Morales-Ramírez, Juliana Guadalupe Rosado-Carrasco

“…Then, computational algorithms and standardized procedures were used for characterization. …”
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A Review on the Security of IoT Networks: From Network Layer’s Perspective by Asma Jahangeer, Sibghat Ullah Bazai, Saad Aslam, Shah Marjan, Muhammad Anas, Sayed Habibullah Hashemi

“…Moreover, we also present a detailed analysis of machine learning-based algorithms and techniques proposed for the security of RPL protocol against internal attacks.…”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…In this paper, we review recent algorithms for semantic parsing including both conventional machine learning approaches and deep learning approaches. …”
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A Methodological Study on Expanding the Microarchitectural Design Space of Melt Electrowriting by Kai Cao, Yi He, Anni Wang, Yunpeng Wang, Junyi Song, Jun Zhong, Qisheng Chen, Rongwu Wang

“…ABSTRACT Melt electrowriting (MEW), an advanced additive manufacturing technique for fabricating microfibers, has demonstrated significant potential in tissue engineering applications. While MEW shares many similarities with fused filament fabrication (FFF), the conventional slice‐filling algorithms used in FFF are ill‐suited for MEW, as they fail to address the requirements for continuous toolpaths and diverse microarchitectures. …”
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