Enhanced Android Malware Detect Models Based on Explainable Generative Adversarial Networks by Shamma Alshebli, Hyeran Mun, Deepak Puthal, Mohamed Jamal Zemerly, Luigi Martino, Ernesto Damiani, Chan Yeob Yeun

“…With the widespread adoption of smartphones over the past decade, mobile applications have become a primary target for malicious attacks, usually in the form of malware. …”
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Towards zero-shot learning in 3D change detection: improving generalization with custom augmentations and evaluation by Riccardo Contu, Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane

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Accurate GRACE terrestrial water storage estimations via a new fusion method by Min Dai, Hao Zhou, Wenjing Ma, Shuyun Zheng, Mingyang Xia, Yaozong Li, Zhicai Luo

“…The fusion methodology significantly improves the effectiveness of probing TWS changes globally and regionally, helping to provide a valuable basic dataset for future exploration of related environmental changes and water resources management based on reliable data.…”
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An energy-efficient routing protocol for wireless body area networks using hybrid artificial bee colony optimization and chicken swarm optimization algorithm by A. Dinesh, J. Rangaraj

“…Abstract Wireless body area networks (WBANs) have evolved into effective options for various sports, military, and healthcare applications. Most of the research proposed looking at effective data collection from individuals and conventional WBANs. …”
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Personalized learning path optimization based on enhanced deep neural network: higher education teaching model integrating learner behavior and cognitive style by Xiaomei Ding, Huaibao Ding, Fei Zhou, Lihong Zhao

“…The model can efficiently integrate learners' behavioral data and cognitive styles, adjust learning paths in real-time, and demonstrate rapid response and optimization capabilities in practical applications.…”
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A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements by Masrur Ahmed, Jing Kong, Ningbo Jiang, Hiep Nguyen Duc, Praveen Puppala, Merched Azzi, Matthew Riley, Xavier Barthelemy

“…The BaySurcls model corrects the PAS2.5 data for both collocated and noncollocated monitoring scenarios. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid, Md. Mosarrof Hossen, Mohammad Nashbat, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Amith Khandakar, Azad Ashraf, Molla Ehsanul Majid, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury

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Impact of a Digital Platform for Wildlife Information Management in the Cerro Blanco Protected Forest of Guayaquil Using Plithogenic Statistics by Sonia Jacqueline Tigua Moreira, Edison Luis Cruz Navarrete, Diana Lucia Tigua Moreira, Pedro Manuel García Arias

“…Comprehensive digital resources are needed to improve data accessibility for informed decision-making regarding conservation activities. …”
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Improved Test for High-Dimensional Mean Vectors and Covariance Matrices Using Random Projection by Tung-Lung Wu

“…Aggregation strategies—maximum-, average-, and percentile-based for the mean problem and minimum and average <i>p</i>-values for the covariance problem—are developed to further stabilize performance across repeated projections. An application to gene expression data is provided to illustrate the method. …”
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The Genesis of the Scientific School of Accounting of Nizhny Novgorod State University Named After N. I. Lobachevsky in the System of Development of Economic Knowledge by I. E. Mizikovskii

“…In the course of the research, methods of historicism, structural-functional and systemic types of analysis were used; formalization, interpretation, evaluation and systematization of scientific data; a causal approach was applied. The article reflects the contribution of the scientific accounting school of Nizhny Novgorod State University named after N. …”
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Modified water balance model for groundwater recharge estimations using cloud integration by Arup Kumar Das, Saurabh Kumar Gupta, Suraj Kumar Singh, Pradeep Kumar Rawat, Shruti Kanga

“…This particular study aims at improving the estimation of groundwater recharge using the Modified Water Balance Model (MWBM), which has been integrated with Google Earth Engine (GEE) and high-resolution remote sensing data here in application for groundwater. The method used consists of MODIS land surface temperature and CHIRPS precipitation data efficiently maps groundwater recharge estimation for various districts of West Bengal. …”
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Machine learning algorithm to predict in-hospital mortality after aneurysmal subarachnoid hemorrhage by Juri V. Kivelev, Alexey L. Krivoshapkin, Albert A. Sufianov

“…Machine learning (ML) methodology surpasses the traditional tools of statistical analysis in processing big data clinical datasets .Aim. To develop an ML algorithm of application of recurrent neural network to analyze clinical datasets of patients with aneurysmal subarachnoid hemorrhage (SAH).Materials and methods. …”
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Dataset collection for automatic generation of commit messages by Ivan A. Kosyanenko, Roman G. Bolbakov

“…A comprehensive study of the structure and quality of commit messages encompassed data collection from GitHub repositories and preliminary data cleansing. …”
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The value of radiomic models based on contrast-enhanced computed tomography images in distinguishing between pancreatic ductal adenocarcinoma and pancreatic neuroendocrine neoplasm... by ZHUANG Yuan, CUI Jingjing, YANG Guangjie, LI Ben, WANG Ning, SUN Hukui, WANG Zhenguang

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A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset by Vinay Kukreja, Vandana Ahuja, Modafar Ati, Hariharan Shanmugasundaram, Murugaperumal Krishnamoorthy, Rishabh Sharma, Abhishek Bhattacherjee

“…Subsequent research will investigate more data modalities and their practical application in healthcare.…”
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A NoSQL document based eCRF system for study of vaccines with variable adverse events case study on COVID19 vaccines by Seyyed Hamzeh Nasiri Khoshroudi, Ali Asghar Safaei, Hoorieh Soleimanjahi

“…Abstract In case report studies (adverse effects of drugs/vaccines) that are unstructured, a structured relational model is not applicable for designing a database, necessitating the use of an unstructured data model, specifically NoSQL. …”
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Modeling recurrent heart failure risk in type 2 diabetes: impact of flexible HbA1c trajectories using nonhomogeneous Poisson processes by Di Cui, Haiyan Xu, Xiuju Fu, Stefan Ma, Yong Mong Bee

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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

“…Through meticulous feature engineering and the application of techniques to address data imbalance, our model demonstrates improved accuracy and interpretability in predicting ADRs. …”
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Application of point-of-care ultrasound-guided tip navigation combined with visualised directional high-frequency linear array probe compression to improve the success rate of umbi... by Fa Chen, Xianping Liu, Yunfeng Lin, Yanfang Fan, Shaoru Huang, Wen Ling, Jiajia Lin, Xia Ouyang

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A review on the demand situation and application scope of Traditional Chinese Medicine nursing appropriate technologies among key populations in the community (中医护理适宜技术在社区重点人群中的需求状... by FENG Huiling (冯会玲), LIU Siyu (刘思语), LI Shaowen (李绍文), MA Jinghua (马京华)

“…方法 系统检索PubMed、Embase、Web of Science、Cochrane Library、中国生物医学文献服务系统(SinoMed)、中华医学期刊全文数据库、中国知网(CNKI)、维普数据库(VIP)、万方数据库(Wanfang Data)中的相关文献, 检索时限为建库至2025年2月1日, 以澳大利亚乔安娜布里格斯研究所(JBI)范围综述指南为方法学框架对纳入文献进行分析。…”
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