A Survey on Event Tracking in Social Media Data Streams by Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos

“…Moreover, as deep learning techniques continue to advance and make important breakthroughs in various fields, researchers are using this technology to progressively optimize the effectiveness of Event Detection (ED) and tracking algorithms. …”
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Collaborative Filtering Techniques for Predicting Web Service QoS Values in Static and Dynamic Environments: A Systematic and Thorough Analysis by Ghizlane Khababa, Sadik Bessou, Fateh Seghir, Nor Hazlyna Harun, Abdulaziz S. Almazyad, Pradeep Jangir, Ali Wagdy Mohamed

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Identification of anaerobic bacterial strains by pyrolysis-gas chromatography-ion mobility spectrometry by Tim Kobelt, Jonas Klose, Rumjhum Mukherjee, Rumjhum Mukherjee, Martin Lippmann, Szymon P. Szafranski, Szymon P. Szafranski, Meike Stiesch, Meike Stiesch, Stefan Zimmermann

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Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors by Elham Raiesi Nafchi, Pedram Fadavi, Sepideh Amiri, Susan Cheraghi, Maryam Garousi, Mansoureh Nabavi, Iman Daneshi, Marzieh Gomar, Malihe Molaie, Ali Nouraeinejad

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Machine Learning for Community-Acquired Pneumonia Diagnosis Using Routine Clinical and Laboratory Data by Sung Yoon Lim, Eunhye Cho, Bokhee Jung, Jaeyeon Lee, Miyoung Kim, Sooyoung Yoo, Seyoung Jung, Joon Yhup Lee, Sejin Nam, Hyunju Lee, Eu Suk Kim

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Expert Consensus on the Management of Acute Otitis Media in India: A Delphi Study by Tanu Singhal, Shyam Kukreja, Jaydeep Choudhury, Vijay Yewale, Balasubramanian Sundaram, Jagdish Chinnappa, Suhas Prabhu, Balaji Veeraraghavan, Camilla Rodrigues, Vidya Krishna, Winsley Rose, Samir Bhargava

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Multivariate, Automatic Diagnostics Based on Insights into Sensor Technology by Astrid Marie Skålvik, Ranveig N. Bjørk, Enoc Martínez, Kjell-Eivind Frøysa, Camilla Saetre

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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

“…It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. …”
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Machine Learning-Based Alfalfa Height Estimation Using Sentinel-2 Multispectral Imagery by Hazhir Bahrami, Karem Chokmani, Saeid Homayouni, Viacheslav I. Adamchuk, Rami Albasha, Md Saifuzzaman, Maxime Leduc

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The Genetic Puzzle of the Stress-Induced Cardiomyopathy (Takotsubo Syndrome): State of Art and Future Perspectives by Domenico Lio, Letizia Scola, Giusi Irma Forte, Loredana Vaccarino, Manuela Bova, Patrizia Di Gangi, Giorgia Santini, Daniela di Lisi, Cristina Madaudo, Giuseppina Novo

“…We conclude that innovative approaches based on data-mining algorithms and nonlinear analytic methods applied to large patient datasets may be instrumental in resolving the genetic complexity of TS.…”
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An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers by Dhruva Darshan B S, Punit Sharma, Krishnaraj Chadaga, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Srikanth Prabhu, Swathi K S

“…The algorithms are further ensembled using a customized stacking approach. …”
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Mathematical Methods in Feature Selection: A Review by Firuz Kamalov, Hana Sulieman, Ayman Alzaatreh, Maher Emarly, Hasna Chamlal, Murodbek Safaraliev

“…The review concludes with emerging trends and future research directions for mathematical methods in feature selection.…”
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Overview and Prospects of Visibility Analysis Approaches by Jianghong Zhao, Ailin Xu, Xueqing Zhang, Yunhui Zhang, Yihong Zhang, Mengtian Cao, Ming Huang

“…Visibility analysis is categorized into 2D, 2.5D, and 3D analyses, summarizing its extensive application fields and research dimensions. Chronologically, this paper reviews various algorithms, comparing their advantages and limitations in terms of processing speed, accuracy, and applicability. …”
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An Analysis of Semi-Supervised Machine Learning in Electrical Machines by V. Raju Arvind, S. Shyamsharan, Poorvajaa Gurunathan, Krishna Kumba, Nawin Ra

“…SSML provides a key benefit in enhancing the effectiveness and precision of predictive models for optimizing electrical machine performance, reliability, and maintenance by leveraging labeled and unlabeled data. The research investigates important SSML algorithms such as self-training, co-training, generative models, and graph-based methods, highlighting their particular uses in fault diagnosis, condition monitoring, and predictive maintenance of electrical machines. …”
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Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam by Tuan Vu Dinh, Nhat-Duc Hoang, Xuan-Linh Tran

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Machine Learning for Anomaly Detection in Blockchain: A Critical Analysis, Empirical Validation, and Future Outlook by Fouzia Jumani, Muhammad Raza

“…This study acts as a benchmark for additional research on how ML algorithms identify anomalies in blockchain technology and aids ongoing studies in this rapidly evolving field.…”
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Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

“…Based on performance measures, the proposed BPNN-SPA achieved better accuracy than existing algorithms.…”
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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…Future research can further explore how to integrate multiple machine learning algorithms to optimize energy scheduling strategies and improve the system’s adaptability in complex environments.…”
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Current application of artificial intelligence in laparoscopic cholecystectomy by S.M. Chooklin, S.S. Chuklin

“…Advances in AI have made it possible to train algorithms that identify anatomy and interpret the surgical field. …”
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