Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…Abstract Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. …”
Get full text

Traffic Animation of Pedestrian and Vehicle Interactions in Non-Signalized Mid-Block Regions by Sai-Keung Wong, Pin-Chieh Huang, Chun-Han Shih, Guan-Ting Lin, Wen-Chieh Lin

Get full text

Numerical Analysis and Validation of Horizontal and Vertical Displacements of a Floating Body for Different Wave Periods by Marla Rodrigues de Oliveira, Liércio André Isoldi, Elizaldo Domingues dos Santos, Luiz Alberto Oliveira Rocha, Mateus das Neves Gomes

“…This study concentrates on numerically evaluating the behavior of a floating body with a box format. …”
Get full text

Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation by Aqsa Dastgir, Wang Bin, Muhammad Usman Saeed, Jinfang Sheng, Luo Site, Haseeb Hassan

“…Additionally, gradient sensitivity-based pruning is applied to optimize the model’s complexity and computational efficiency. Evaluated on the VerSe 2019 and VerSe 2020 datasets, the proposed model achieves superior performance, with a Dice coefficient of 96.85% and a Jaccard index of 95.37%, outperforming state-of-the-art methods. …”
Get full text

Detecting clinical medication errors with AI enabled wearable cameras by Justin Chan, Solomon Nsumba, Mitchell Wortsman, Achal Dave, Ludwig Schmidt, Shyamnath Gollakota, Kelly Michaelsen

Get full text

STP: single-cell partition for subcellular spatially-resolved transcriptomics by Haoyang Li, Qinan Hu, Zhaowen Qiu, Hui Xiong, Yuhui Hu, Xin Gao

Get full text

Zero-Shot Sand-Dust Image Restoration by Fei Shi, Zhenhong Jia, Yanyun Zhou

“…Extensive experiments are performed and evaluated both qualitatively and quantitatively. The results show that the proposed method works better than the state-of-the-art algorithms for enhancing and restoring sand-dust images.…”
Get full text

A Green AI Methodology Based on Persistent Homology for Compressing BERT by Luis Balderas, Miguel Lastra, José M. Benítez

“…However, they come with substantial computational and memory costs. Additionally, they are essentially black-box models, being challenging to explain and interpret. …”
Get full text

Semantic-aware multi-task learning for image aesthetic quality assessment by Weiliang Yan, Yuqing Li, Huan Yang, Baoxiang Huang, Zhenkuan Pan

Get full text

Blockchain-Based Smart Monitoring Framework for Defense Industry by Abdullah Alqahtani, Shtwai Alsubai, Abed Alanazi, Munish Bhatia

“…The proposed model has been validated using challenging date sets obtained from public repositories. The computed results indicate that the proposed solution is successful in facilitating the development of high-quality defense services. …”
Get full text

A secure and imperceptible communication system for sharing co-ordinate data by Ranjeet Bidwe, Sahil Kale, Gautam Khaire, Jay Patankar, Deepak Mane, Suraj Sawant

“…Our innovation lies in building an imperceptible, powerful yet computationally efficient and practical system for communicating sensitive location data. …”
Get full text

Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification by Xiaorou Zheng, Jianxin Jia, Shoubin Dong, Yawei Wang, Runuo Lu, Yuwei Chen, Yueming Wang

“…Accurate time efficiency estimation is critical for deploying effective algorithms, yet it remains challenging due to the many factors influencing computational performance. Traditional methods of evaluating time efficiency often neglect the effects of core model parameters and complex data scales in spectral and temporal dimensions. …”
Get full text

A Review of Photonics‐Driven Thermal Management: Strategies for Efficient Energy Generation and Saving by Joo Hwan Ko, Doeun Kim, Se Yeon Kim, Youn Ju Na, Hyeon‐Ho Jeong, Young Min Song

Get full text

scGraphformer: unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network by Xingyu Fan, Jiacheng Liu, Yaodong Yang, Chunbin Gu, Yuqiang Han, Bian Wu, Yirong Jiang, Guangyong Chen, Pheng-Ann Heng

Get full text

Network intrusion detection model using wrapper based feature selection and multi head attention transformers by Muhammad Umer, Muhammad Tahir, Muhammad Sardaraz, Muhammad Sharif, Hela Elmannai, Abeer D. Algarni

Get full text

Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

Get full text

Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm by Amit Sagu, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, Piyush Kumar Shukla, Mohd Asif Shah

Get full text

Detecting SARS-CoV-2 in CT Scans Using Vision Transformer and Graph Neural Network by Kamorudeen Amuda, Almustapha Wakili, Tomilade Amoo, Lukman Agbetu, Qianlong Wang, Jinjuan Feng

“…The COVID-19 pandemic has presented significant challenges to global healthcare, bringing out the urgent need for reliable diagnostic tools. Computed Tomography (CT) scans have proven instrumental in detecting COVID-19-induced lung abnormalities. …”
Get full text

Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture by Thekaa Ali Kadhim, Zaid Ameen Abduljabbar, Hamid Ali Abed AL-Asadi, Vincent Omollo Nyangaresi, Zahraa Abdullah Ali, Iman Qays Abduljaleel

“…Moreover, comparative performance evaluations demonstrate its computation overheads and energy consumption efficiency.…”
Get full text

Toward Explainable Time-Series Numerical Association Rule Mining: A Case Study in Smart-Agriculture by Iztok Fister, Sancho Salcedo-Sanz, Enrique Alexandre-Cortizo, Damijan Novak, Iztok Fister, Vili Podgorelec, Mario Gorenjak

Get full text