The Impacts of Heatwaves on Population Distribution in the Subtropical City: A Case Study of Nanchang, China by Zixun Chen, Zongcai Wei

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A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware by Mazen Gazzan, Bader Alobaywi, Mohammed Almutairi, Frederick T. Sheldon

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An Automated Compliance Framework for Critical Infrastructure Security Through Artificial Intelligence by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Rafi Us Shan

“…These impacts encompass the theft of confidential information, service interruptions, and expenses tied to breach remediation, underscoring the urgent necessity for strengthened cybersecurity strategies. Machine learning (ML) is highly effective in signifying cybersecurity standards, leveraging large-scale data analysis, pattern recognition, and adaptability to emerging threats. …”
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Innovative Approaches to Traffic Anomaly Detection and Classification Using AI by Borja Pérez, Mario Resino, Teresa Seco, Fernando García, Abdulla Al-Kaff

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An Author Gender Detection Method Using Whale Optimization Algorithm and Artificial Neural Network by Fatemeh Safara, Amin Salih Mohammed, Moayad Yousif Potrus, Saqib Ali, Quan Thanh Tho, Alireza Souri, Fereshteh Janenia, Mehdi Hosseinzadeh

“…Text and writings of people on the Internet have valuable information that can be used to identify the gender of an author. Machine learning and meta-heuristic algorithms are valuable techniques to extract hidden patterns useful for detecting gender of a text. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

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ECG-GraphNet: Advanced arrhythmia classification based on graph convolutional networks by Myeonghun Lee, BS, Jiwoo Lim, MS, JinKook Kim, MS

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SDN-Enabled IoT Security Frameworks—A Review of Existing Challenges by Sandipan Rakeshkumar Mishra, Bharanidharan Shanmugam, Kheng Cher Yeo, Suresh Thennadil

“…The review categorizes and analyzes these ML/DL implementations across various architectural paradigms, identifying patterns in their effectiveness for different security contexts. …”
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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…The review compares the effectiveness of machine learning (ML) algorithms such as Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), and Decision Trees with traditional statistical models, assessing their ability to manage complex educational data and improve decision-making. …”
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MLCRP: ML-Based GPU Cache Performance Modeling Featured With Reuse Profiles by Minjung Cho, Eui-Young Chung

“…This paper proposes MLCRP, a machine learning-based GPU cache performance prediction framework that utilizes the reuse profile (RP) as a key feature. …”
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Comprehensive data of 10 fruit leaf classes captured for agricultural AI applicationsMendeley Data by Minhajul Abedin, Sujon Islam, Naznin Sultana

“…The dataset has a fairly balanced number of photos for each class, with between 300 and 343 photos for each class which makes it suitable for machine learning applications. To capture a complementary range of visual properties (leaf shape, venation patterns, edges, surfaces, etc.), the collection contains healthy leaf samples photographed from both the top and underside angels. …”
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Viewing Soil Moisture Flash Drought Onset Mechanism and Their Changes Through XAI Lens: A Case Study in Eastern China by Jiajin Feng, Jun Li, Chong‐Yu Xu, Zhaoli Wang, Zhenxing Zhang, Xushu Wu, Chengguang Lai, Zhaoyang Zeng, Hongfu Tong, Shijie Jiang

“…Our classification of drought events reveals that nearly 70% of events were driven by at least two mechanisms, underscoring a complex time‐varying pattern of driving factors during drought events. …”
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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

“…However, this manual decision-making pattern often exhibits insufficient collaborative capability when confronted with complex construction scenarios. …”
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Full-chain comprehensive assessment and multi-scenario simulation of geological disaster vulnerability based on the VSD framework: a case study of Yunnan province in China by Li Xu, Shucheng Tan, Runyang Li

“…The results show that from 2030 to 2050, GDV in Yunnan Province is generally at a medium–high level, with a spatial distribution pattern of “centered on Kunming, with a radial increase extending outward.” …”
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Paving the way for new antimicrobial peptides through molecular de-extinction by Karen O Osiro, Abel Gil-Ley, Fabiano C Fernandes, Kamila B S de Oliveira, Cesar de la Fuente-Nunez, Octavio L Franco

“…For example, computational analysis of disulfide bond patterns has led to the identification of six previously uncharacterized β-defensins in extinct and critically endangered species. …”
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Anomaly Detection for GOOSE Spoofing Attacks in Digital Substations Using Deep Learning Models: A DNN and LSTM Approach by Trinal Fernando, Gowri Ramachandran, Mahinda Vilathgamuwa, Dhammika Jayalath

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Identification of Alzheimer’s disease biomarkers and their immune function characterization by Mingkai Lin, Yue Zhou, Peixian Liang, Ruoyi Zheng, Minwei Du, Xintong Ke, Wenjing Zhang, Pei Shang

“…Results Five biomarkers (RBM3, GOLGA8A, ALS2, FSD2, and LOC100287628) were identified using machine learning algorithms. Single-cell analysis revealed distinct expression patterns of these biomarkers in astrocytes from AD samples compared to normal samples. …”
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Decoding Lung Cancer Radiogenomics: A Custom Clustering/Classification Methodology to Simultaneously Identify Important Imaging Features and Relevant Genes by Destie Provenzano, John P. Lichtenberger, Sharad Goyal, Yuan James Rao

“…Conclusion: This small pilot study presented a potential way to identify genetic patterns from image data and presented a methodology that could group images with no labels or only partial labels for future problems.…”
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An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa by Eric Adjei Lawer

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Urban flood mapping by fully mining and adaptive fusion of the polarimetric and spatial information of Sentinel-1 images by Qi Zhang, Xiangyun Hu

“…Related to this, accurate mapping of flood areas is a necessary undertaking that helps to understand the temporal and spatial evolution patterns of floods. Thus, this paper proposes a novel, unsupervised multi-scale machine learning (ML) approach for urban flood mapping with SAR images from the perspective of information mining and fusion. …”
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