A Hybrid CNN–BiLSTM Framework Optimized with Bayesian Search for Robust Android Malware Detection by Ibrahim Mutambik

“…This work proposes an innovative deep learning hybrid model that combines Convolutional Neural Networks (CNNs) with Bidirectional Long Short-Term Memory (BiLSTM) networks for learning both local features and sequential behavior in Android applications. …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The Internet of Things (IoT) is a network that interconnects many everyday objects, including computers, televisions, washing machines, and even whole urban areas. …”
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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…We will go one step beyond this by using a Genetic Algorithm in combination with the Neuro-evolution of Augmenting Topologies for optimization not only for neural network architecture and hyperparameters but also for going into the process. …”
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SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

“…Taking into account the unique characteristics of smoke and fire, the network incorporates a non-rigid object feature extraction module and a spatial awareness module, achieving improved performance. …”
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YOLOv8 framework for COVID-19 and pneumonia detection using synthetic image augmentation by Uddin A Hasib, Raihan Md Abu, Jing Yang, Uzair Aslam Bhatti, Chin Soon Ku, Lip Yee Por

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Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems by Wang Jian, Amin Ul Haq, Noman Afzal, Shakir Khan, Hadeel Alsolai, Sultan M. Alanazi, Abu Taha Zamani

“…The extracted features from data are embedded in the GRUs model for the final prediction of LC. …”
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Trends in the sustainable use of artificial intelligence: a bibliometric approach by Alejandro Valencia-Arias, Jesus Alberto Jimenez Garcia, Toño Eldrin Alvites Adan, Ezequiel Martínez Rojas, Jackeline Valencia, Erica Agudelo-Ceballos, Hernán Uribe Bedoya, Gustavo Adolfo Moreno López

“…China, the United States, and India were the leading countries in terms of scientific production. Thematic evolution revealed a shift toward SDG and artificial neural network. …”
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Powder Bed Fusion via Machine Learning-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Abel Saji Abraham, Mayank Khanna, Anirudh Mishra, Isha Sachdeva, Swati Kashyap, S. Jithin Dev, R. Srii Swatish, Ayushma Joshi, Simar Kaur Anand, Addisalem Adefris, R. Lokesh Kumar, Jayakumar Kaliappan, S. Dhanalakshmi

“…This review presents the evolution, current status, challenges, and prospects of these technologies in terms of material, features, process parameters, applications, advantages, disadvantages, etc., to explain their significance and provide an in-depth understanding of the same.…”
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Hymyc1 downregulation promotes stem cell proliferation in Hydra vulgaris. by Alfredo Ambrosone, Valentina Marchesano, Angela Tino, Bert Hobmayer, Claudia Tortiglione

“…Our results show the involvement of Hymyc1 in the control of interstitial stem cell dynamics, provide new clues to decipher the molecular control of the cell and tissue plasticity in Hydra, and also provide further insights into the complex myc network in higher organisms. The ability of Hydra cells to uptake double stranded RNA and to trigger a RNAi response lays the foundations of a comprehensive analysis of the RNAi response in Hydra allowing us to track back in the evolution and the origin of this process.…”
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Logopenic and nonfluent variants of primary progressive aphasia are differentiated by acoustic measures of speech production. by Kirrie J Ballard, Sharon Savage, Cristian E Leyton, Adam P Vogel, Michael Hornberger, John R Hodges

“…This bilateral involvement of frontal speech networks in nfvPPA potentially affects access to compensatory mechanisms involving right hemisphere homologues. …”
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Geo-spatial assessment of geomorphic characteristics of Swat Valley, Pakistan by Sheharyar Ahmad, Muhammad Shareef Shazil, Ahmad Furqan Hassan, Bashra Afzal

“…Morphometric analysis is essential for understanding drainage networks and landform evolution, particularly in complex mountainous regions like the Swat Valley. …”
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COMMUNICATION STRATEGIES AND TACTICS IN CRISIS SITUATIONS by Olena Danylina

“…Methods of analysis and synthesis were applied to systematise crisis classifications by scale, subject matter, causes, and structural features; a diachronic review traced the evolution of media strategies from post-crisis reporting to proactive, real-time networked responses. …”
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Hybrid Multi-Criteria Decision Framework for Prosumers Energy Storage Systems in Smart Grids by Marriam Liaqat, Muhammad Adnan, Mohaira Ahmad, Muhammad Sajid Iqbal, Faizan Ahmad, Sami Ud Din

“…To fill this literature gap, this paper proposes a multi-criteria decision framework for energy storage selection in prosumer-based networks. First, a decision-making hierarchy was developed based on the three main criteria including energy flow management for prosumers, technical features, and sustainability. …”
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Discovery and Genome Characterization of Three New Rhabdoviruses Infecting <i>Passiflora</i> spp. in Brazil by Andreza Henrique Vidal, Ana Clara Rodrigues Abreu, Jorge Flávio Sousa Dantas-Filho, Monique Jacob Xavier Vianna, Cristiano Lacorte, Emanuel Felipe Medeiros Abreu, Gustavo Pereira Felix, Dione Mendes Teixeira Alves-Freitas, Bruna Pinheiro-Lima, Isadora Nogueira, Fabio Gelape Faleiro, Raul Castro Carriello Rosa, Onildo Nunes Jesus, Marcio Martinello Sanches, Yam Sousa Santos, Rosana Blawid, José Leonardo Santos Jiménez, Maite Freitas Silva Vaslin, Elliot Watanabe Kitajima, Magnolia de Araujo Campos, Rafaela Salgado Fontenele, Arvind Varsani, Fernando Lucas Melo, Simone Graça Ribeiro

“…Phylogenetic and glycoprotein sequence similarity network analysis provided insights into their evolutionary placement and potential vector associations. …”
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The TESS Ten Thousand Catalog: 10,001 Uniformly Vetted and Validated Eclipsing Binary Stars Detected in Full-frame Image Data by Machine Learning and Analyzed by Citizen Scientists by Veselin B. Kostov, Brian P. Powell, Aline U. Fornear, Marco Z. Di Fraia, Robert Gagliano, Thomas L. Jacobs, Julien S. de Lambilly, Hugo A. Durantini Luca, Steven R. Majewski, Mark Omohundro, Jerome Orosz, Saul A. Rappaport, Ryan Salik, Donald Short, William Welsh, Svetoslav Alexandrov, Cledison Marcos da Silva, Erika Dunning, Gerd Gühne, Marc Huten, Michiharu Hyogo, Davide Iannone, Sam Lee, Christian Magliano, Manya Sharma, Allan Tarr, John Yablonsky, Sovan Acharya, Fred Adams, Thomas Barclay, Benjamin T. Montet, Susan Mullally, Greg Olmschenk, Andrej Prša, Elisa Quintana, Robert Wilson, Hasret Balcioglu, Ethan Kruse, The Eclipsing Binary Patrol Collaboration

“…In addition to the primary goal of discovering new exoplanets, TESS is exceptionally capable at detecting variable stars, and in particular short-period eclipsing binaries, which are relatively common, making up a few percent of all stars, and represent powerful astrophysical laboratories for deep investigations of stellar formation and evolution. We combed Sectors 1–82 of the TESS full-frame image data searching for eclipsing binary stars using a neural network that identified ∼1.2 million stars with eclipse-like features. …”
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Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study by Soonil Kwon, SooMin Chung, So-Ryoung Lee, Kwangsoo Kim, Junmo Kim, Dahyeon Baek, Hyun-Lim Yang, Eue-Keun Choi, Seil Oh

“…Electrocardiogram signals, ECG features, and clinical features (demographic information, comorbidities, blood cell counts, and blood test results) were collected for training. …”
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A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero

“…These features are fused through an attention fusion mechanism, ensuring seamless interaction between local and global feature representations. …”
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Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey by Wei Gong, Wei Gong, Wei Gong, Xiaoxiao Hu, Huimin Cui, Huimin Cui, Yuxin Zhao, Yuxin Zhao, Hong Lin, Hong Lin, Hong Lin, Peng Sun, Peng Sun, Jianjun Yang, Jianjun Yang

“…Model performance was evaluated using AUC, accuracy, precision, recall, F1-score, RMSE, and decision curve analysis (DCA). …”
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METHODOLOGICAL APPROACHES TO THE ASSESSMENT OF THE ECONOMY’S DIGITAL TRANSFORMATION by Н. В. Чеснокова

“…In addition to analyzing the parameters of each index as a whole, the paper reveals common features between them. The WDCI, DEI, and NRI indexes evaluate the environment that stimulates digitalization processes. …”
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Deep learning-based fine-grained assessment of aneurysm wall characteristics using 4D-CT angiography by Teerawat Kumrai, Takuya Maekawa, Yixuan Chen, Yoshie Sugiyama, Masatoshi Takagaki, Shigeo Yamashiro, Katsumi Takizawa, Tsutomu Ichinose, Fujimaro Ishida, Haruhiko Kishima

“…The 3D trajectories of observation points on aneurysm walls were processed to compute a time series of 3D speed, acceleration, and smoothness of motion, aiming to evaluate the aneurysm wall characteristics. To facilitate point-level risk evaluation using the time-series data, we developed a convolutional neural network (CNN)—long- short-term memory (LSTM)-based regression model enriched with attention layers. …”
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