Integrating representation learning, permutation, and optimization to detect lineage-related gene expression patterns by Hannah M. Schlüter, Caroline Uhler

“…Here we develop Permutation, Optimization, and Representation learning based single Cell gene Expression and Lineage ANalysis (PORCELAN) to identify lineage-informative genes or subtrees where lineage and expression are tightly coupled. …”
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Intelligent IoT-Based Network Clustering and Camera Distribution Algorithm Using Reinforcement Learning by Islam T. Almalkawi, Rami Halloush, Mohammad F. Al-Hammouri, Alaa Alghazo, Loiy Al-Abed, Mohammad Amra, Ayooub Alsarhan, Sami Aziz Alshammari

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Predictive modeling for durability characteristics of blended cement concrete utilizing machine learning algorithms by Bo Fu, Hua Lei, Irfan Ullah, Mohammed El-Meligy, Khalil El Hindi, Muhammad Faisal Javed, Furqan Ahmad

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Designing 3D Animated Games as Learning Media For Lontara (Edulontara) Based on Android by Suci Rahma Dani Rachman, Ardimansyah, Baso Arfan Efendy, Riyan Alfian Syarif

“…The background of the research is that learning in schools still uses learning methods that use guidebook media, which causes a lack of interest and attention from students to take part in ongoing learning, for that it is necessary to develop an educational game that can be used as a medium of learning and can motivate students to be interested in study. …”
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Empowering communities through social learning: Enhancing engagement in waste management at Mandiri Kasturi by Fajri Hidayatul, Saputra Boni, Pegi Andre Lofika, Renaldi Irfan, Halawa Historis Soterman, Wahyuni Nila

“…This research explores how community-based approaches and “social learning” can improve community engagement in waste management. …”
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Constructing a fall risk prediction model for hospitalized patients using machine learning by Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu

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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

“…This study developed an advanced bankruptcy prediction model using Support Vector Machines (SVM), Random Forest (RF), and Artificial Neural Network (ANN) algorithms based on datasets from the UCI machine learning repository. The core contribution of this research is the establishment of a hybrid model that effectively combines multiple machine learning (ML) algorithms with advanced data with the Synthetic minority oversampling technique Tomek (SMOTE Tomek) or SMOTE- Edited Nearest Neighbor (SMOTE-ENN) resampling data technique to improve bankruptcy prediction accuracy. …”
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Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting by C. Jeevakarunya, V. Manikandan

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An Improved Deep Learning Network Structure for Multitask Text Implication Translation Character Recognition by Xiaoli Ma, Hongyan Xu, Xiaoqian Zhang, Haoyong Wang

“…Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. …”
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RETRACTED: Logo design: lessons learned from interbrand's top 100 global brands by Alrasheed Saleh Suleiman, Siddiqui Kamran

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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

Subjects: “…impact-based heavy rainfall warning, multi-classification machine learning, impacts of floods, flood assessment, cascading impact…”
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A deep learning method for bias correction of wind field in the South China Sea by Cong Pang, Tao Song, Tao Song, Handan Sun, Xin Li, Danya Xu

Subjects: “…deep learning…”
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Scalable and Privacy-Preserving Inter-AS Routing Through Machine-Learning-Based Graph Pruning by Davide Andreoletti, Cristina Rottondi, Silvia Giordano, Andrea Bianco

“…To perform inter-domain routing, each controller must learn how to reach any other node outside its domain. …”
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Systematic Literature Review of Machine Learning Models for Detecting DDoS Attacks in IoT Networks by Marcos Luengo Viñuela, Jesús-Ángel Román Gallego

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Improving the Fharmacology Teaching-Learning Process in the Formation of Medicine Doctors: Conceptions, Challenges and Perspectives by Pedro Miguel Milián Vázquez, María Magdalena López Rodríguez del Rey

“…This article analyzes conceptions, challenges and perspectives of the teaching-learning process of this discipline in Cuba. The author supports the statement of an integral conception of the teaching-learning process, highlighting the sequence of pharmacological teaching tasks throughout the students’ curricula, looking for the interdisciplinary relationship in the different contents in the curriculum of the medicine doctor. …”
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SIRT1 Regulates Cognitive Performance and Ability of Learning and Memory in Diabetic and Nondiabetic Models by Yue Cao, Zi Yan, Tong Zhou, Guixia Wang

“…Cognitive dysfunction and learning and memory deficits are main characteristics of age-related metabolic diseases in the central nervous system. …”
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DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction by Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun

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Higher education in 21st century: An analysis of ICT integration for teaching and learning in Pakistan by Nisar Ahmad, Arif Alam, Ikram Shah

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The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children by Jun-Wei Chen, Hsin-An Chen, Tzu-Chi Liu, Tzu-En Wu, Chi-Jie Lu

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DeepGame-TP: Integrating Dynamic Game Theory and Deep Learning for Trajectory Planning by Giovanni Lucente, Mikkel Skov Maarssoe, Sanath Himasekhar Konthala, Anas Abulehia, Reza Dariani, Julian Schindler

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