Anomaly detection in cropland monitoring using multiple view vision transformer by Xuesong Liu, Yansong Liu, He Sui, Chuan Qin, Yuanxi Che, Zhaobo Guo

Get full text

Automated sleep staging using sequential XGBoost and multi-scale temporal fusion by Jiří Kuchyňka, Oldřich Vyšata

Get full text

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

Get full text

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

Get full text

From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management by Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal, Jaspreet Kumar, Naghmeh Asadimanesh, Surbhi Dadwal, Vibhor Ahluwalia, Sidhartha Gautam Senapati, Shivaram P. Arunachalam

Get full text

FedPark: A Federated Learning Crowdsensing Solution for On-Street Parking Availability by Afraa Attiah, Shatha Alahmadi, Abeer Hakeem, Linda Mohaisen, Abeer Almakky, Reemah M. Alhebshi

“…Each local model learns from a user’s driving patterns without sharing personal data, ensuring enhanced privacy protection. …”
Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

A protein-based classifier for differentiating follicular thyroid adenoma and carcinoma by Yaoting Sun, He Wang, Lu Li, Jianbiao Wang, Wanyuan Chen, Li Peng, Pingping Hu, Jing Yu, Xue Cai, Nan Yao, Yan Zhou, Jiatong Wang, Yingrui Wang, Liqin Qian, Weigang Ge, Mengni Chen, Feng Yang, Zhiqiang Gui, Wei Sun, Zhihong Wang, Minghua Ge, Yi He, Guangzhi Wang, Yongfu Zhao, Huanjie Chen, Xiaohong Wu, Yuxin Du, Wenjun Wei, Fan Wu, Dingcun Luo, Xiangfeng Lin, Haitao Zheng, Xin Zhu, Bei Wei, Jiafei Shen, Jincao Yao, Zhennan Yuan, Tong Liu, Jun Pan, Yifeng Zhang, Yangfan Lv, Qiaonan Guo, Qijun Wu, Tingting Gong, Ting Chen, Shu Zheng, Jingqiang Zhu, Hanqing Liu, Chuang Chen, Hong Han, Sathiyamoorthy Selvarajan, Michael Mingzhao Xing, Kennichi Kakudo, Erik K Alexander, Yijun Wu, Yu Wang, Dong Xu, Hao Zhang, Xiu Nie, Oi Lian Kon, N Gopalakrishna Iyer, Zhiyan Liu, Yi Zhu, Haixia Guan, Tiannan Guo, We-TEC Investigators

Get full text

GeNIS: A modular dataset for network intrusion detection and classificationZenodo by Miguel Silva, Daniela Pinto, João Vitorino, José Gonçalves, Eva Maia, Isabel Praça

“…The raw network packets were analyzed to generate labelled network flows, with the computation of statistical features to represent the traffic patterns of local and remote attackers, normal users and administrators, and background traffic of an enterprise computer network. …”
Get full text

Computer Viewing Model for Classification of Erythrocytes Infected with <i>Plasmodium</i> spp. Applied to Malaria Diagnosis Using Optical Microscope by Eduardo Rojas, Irene Cartas-Espinel, Priscila Álvarez, Matías Moris, Manuel Salazar, Rodrigo Boguen, Pablo Letelier, Lucia San Martín, Valeria San Martín, Camilo Morales, Neftalí Guzmán

“…The use of artificial intelligence to identify morphological patterns in erythrocytes would improve our diagnostic capability. …”
Get full text

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.…”
Get full text

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

Get full text

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. …”
Get full text