Face Detection Using Hybrid SNN-ANN to Process Neuromorphic Event Stream by Waseem Shariff, Paul Kielty, Joe Lemley, Peter Corcoran

“…This paper tackles the challenges of face detection, a vital computer vision task with wide-ranging applications, particularly in driver monitoring systems, where both accuracy and computational efficiency are crucial. …”
Get full text

Diagnostic efficiency of exome-based sequencing in pediatric patients with epilepsy by Huafang Zou, Huafang Zou, Qian Zhang, Jianxiang Liao, Jianxiang Liao, Dongfang Zou, Zhanqi Hu, Bing Li, Li Chen, Jialun Wen, Xia Zhao, Victor Wei Zhang, Dezhi Cao, Dezhi Cao

“…This study aims to evaluate the detection efficiencies of different exome-based sequencing techniques.MethodsExome-based epilepsy panel tests, clinical exome sequencing (CES), and whole exome sequencing (WES) were conducted on 259 pediatric patients diagnosed with epilepsy. …”
Get full text

An efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

Get full text

Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs by Mustafa Günerkan, Ender Şahinaslan, Önder Şahınaslan

“…In the face of the diversity, dynamism, and complexity of the methods used in creating this declaration, human-induced declaration files are produced erroneously. …”
Get full text

A YOLO-Based Method for Head Detection in Complex Scenes by Ming Xie, Xiaobing Yang, Boxu Li, Yingjie Fan

“…This paper introduces a novel head detection algorithm, YOLO-Based Head Detection in Complex Scenes (YOLO-HDCS). …”
Get full text

Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios by Anjun Yu, Zhichao Rao, Yonghua Xiong, Jinhua She

“…Detecting multi-scale objects in complex scenes is crucial for real-time applications in building safety, where accurate monitoring of safety equipment under challenging conditions is essential. …”
Get full text

An Efficient Deep Learning-Based Framework for Predicting Cyber Violence in Social Networks by Younes Fayand Fathabad, Mohammad Ali Balafar, Amin Golzari Oskouei, Kamal Koohi

Get full text

Relationship-Based Ambient Detection for Concrete Pouring Verification: Improving Detection Accuracy in Complex Construction Environments by Seungwon Yang, Hyunsoo Kim

“…However, traditional monitoring methods face limitations such as overlapping objects, environmental similarities, and detection errors caused by ambiguous boundaries. This study proposes an Ambient Detection-based Monitoring Framework that enhances object detection by incorporating contextual relationships between objects in complex construction environments. …”
Get full text

An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

Get full text

Accurate and efficient insulator maintenance: A DETR algorithm for drone imagery. by Yanfeng Tian, Rodina Binti Ahmad, Nor Aniza Binti Abdullah

“…Additionally, a special convergence network is employed to augment the detection capabilities of the DETR. Experimental results demonstrate that our proposed insulator detection technique has achieved a detection accuracy of 95.8%, significantly outperforming existing defect detection methods in complex environments. …”
Get full text

A Seven-Dimensional Building Information Model for the Improvement of Construction Efficiency by Zhimin Wang, Jin Liu

“…The performance of this model has been demonstrated through a case study of a complex project launched in China. The study shows that the implementation of the 7D BIM has achieved significant cost and time saving as well as project quality and work efficiency improvement.…”
Get full text

Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

“…Aiming at the problems of inaccurate segmentation and low detection efficiency caused by irregular tumor shape and large size differences in brain MRI images, this study proposes a brain tumor segmentation algorithm, YOLO-BT, based on YOLOv11. …”
Get full text

YED-Net: Yoga Exercise Dynamics Monitoring with YOLOv11-ECA-Enhanced Detection and DeepSORT Tracking by Youyu Zhou, Shu Dong, Hao Sheng, Wei Ke

“…Ablation studies confirm that the ECA module, implemented via lightweight 1D convolution, enhances channel attention modeling efficiency by 23% compared to the original SE module and reduces the false detection rate by 1.2 times under complex backgrounds. …”
Get full text

Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Conclusion The enhanced Transformer model offers superior accuracy and efficiency in predicting cognitive decline compared to traditional models. …”
Get full text

Improving Computational Efficiency in Monte Carlo Simulation for Radiation Portal Monitor by Sim Hayoung, Seo Hee

“…In the present study, the applicability of the various techniques to improve calculation efficiency was evaluated. For example, as a simple but highly effective way, a simple box was used to surround the complex geometry of the RPM, resulting in 1.75 times of improvement in the calculation efficiency. …”
Get full text

DANNET: deep attention neural network for efficient ear identification in biometrics by Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran

“…Despite numerous proposed convolutional neural network (CNN) based deep learning techniques for ear detection, achieving the expected efficiency and accuracy remains a challenge. …”
Get full text

Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning by Gabriele Inzerillo, Diego Valsesia, Enrico Magli

“…Experiments on three sample tasks of cloud segmentation, flood detection, and marine debris classification on a 7-W embedded system show competitive results with inference quality close to high-complexity state-of-the-art models and high throughput in excess of 8 Megapixel/s.…”
Get full text

Spectral Efficient Asymmetrically Clipped Hybrid FBMC for Visible Light Communication by Sanjeev Kumar, Preeti Singh

“…The analytical performance of the proposed technique is compared using parameters, namely, bit error rate (BER), spectral efficiency, computational complexity, and peak to average power ratio (PAPR). …”
Get full text

Novel Intermode Prediction Algorithm for High Efficiency Video Coding Encoder by Chan-seob Park, Gwang-Soo Hong, Byung-Gyu Kim

“…Moreover, in order to speed up the encoding time, the efficient merge SKIP detection method is developed additionally based on the contextual mode information of neighboring CUs. …”
Get full text

Spatial heterogeneity and peptide availability determine CTL killing efficiency in vivo. by Thea Hogan, Ulrich Kadolsky, Sim Tung, Benedict Seddon, Andrew Yates

Get full text