Bringing Intelligence to SAR Missions: A Comprehensive Dataset and Evaluation of YOLO for Human Detection in TIR Images by Mostafa Rizk, Israa Bayad

“…The evaluation of YOLOv7-Tiny shows that it achieves an average precision similar to YOLOv8n, which is 48% lighter in size and more practical choice for real-world deployment. Also, the trained models are deployed on graphical processing units. …”
Get full text

Smart Cognitive HMI With Automated Knowledge Extraction for Machine Tool by Jongsu Park, Jinho Son, Seongwoo Cho, Jumyung Um

“…In the paper, one of the equipment, commonly used in the real world, is chosen to be applied the proposed system to the chosen facility, dealing with possible problems during the operation.…”
Get full text

Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…Abstract In the real world, stance detection tasks often involve assessing the stance or attitude of a given text toward new, unseen targets, a task known as zero-shot stance detection. …”
Get full text

Influenza forecasting in human populations: a scoping review. by Jean-Paul Chretien, Dylan George, Jeffrey Shaman, Rohit A Chitale, F Ellis McKenzie

“…., sensitivity analysis); direct comparisons of diverse approaches; assessment of model calibration; integration of subjective expert input; operational research in pilot, real-world applications; and improved mutual understanding among modelers and public health officials.…”
Get full text

Complex Diophantine interval-valued Pythagorean normal set for decision-making processes by Murugan Palanikumar, Nasreen Kausar, Ponnaiah Tharaniya, Željko Stević, Fikadu Tesgera Tolasa

“…We provide an example of how enhanced score and accuracy values are used in the real world. Machine tool technology and computer science play essential roles in robots. …”
Get full text

Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…The findings underscore the adaptability of AI in healthcare, balancing accuracy and efficiency to meet various real-world needs.…”
Get full text

Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network by Zhiqi Shen, Kaiquan Cai, Quan Fang, Xiaoyan Luo

“…Experimental results on real-world flight data demonstrate that our method can achieve better prediction performance than other state-of-the-art comparison methods, and the advantages of the proposed method are particularly prominent in modeling the complicated transfer pattern of air traffic and inferring nonrecurrent flow patterns.…”
Get full text

DRAF-Net: Dual-Branch Residual-Guided Multi-View Attention Fusion Network for Station-Level Numerical Weather Prediction Correction by Kaixin Chen, Jiaxin Chen, Mengqiu Xu, Ming Wu, Chuang Zhang

“…The effectiveness of DRAF-Net was validated on two real-world datasets comprising observations and predictions from Chinese meteorological stations. …”
Get full text

Challenges and insights of transferring animal maze studies principles to human spatial learning research by Piruza Manukyan, Elizaveta Romanova, Alexander Latanov, Pavel Shlepnev, Anastasia Sharapkova, Naida Garabova, Vladimir Kasatkin, Vera Tolchennikova

“…However, these experiments frequently rely on simplified environments and tasks, which may not accurately reflect the complexity of real-world situations. Our pilot study aims to transfer a multi-alternative maze with a complex task structure, previously demonstrated to be useful in studying animal cognition, to studying human spatial cognition. …”
Get full text

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

“…The enhanced performance and robustness of our method underscore its potential for broader applicability in real-world scenarios.…”
Get full text

Masking is good, but conforming is better: The consequences of masking non-conformity within the college classroom. by Jessica Sullivan, Corinne Moss-Racusin, Kengthsagn Louis

“…Study 3 used correlational and qualitative methods to establish the real-world impact of mask conformity in a diverse sample of college students. …”
Get full text

Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction by Ming Wei, Xiaopeng Du

“…In the case of PM2.5 predictions in Yining and Beijing, experimental results show that the proposed model achieved the best performance in terms of RMSE, MAE, and R2 This indicates its excellent prediction accuracy and generalization capability, Thus proving its effectiveness in predicting PM2.5 concentration in the real world.…”
Get full text

Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system by Jiayi Qiu, Yatao Shen, Ziwen Gu, Zijian Wang, Wenmei Li, Ziqian Tao, Ziwen Guo, Yaqun Jiang, Chun Huang

“…Experimental results on two real‐world wind speed datasets demonstrate the best performance of the proposed MTPE‐BLS model compared to that of others. …”
Get full text

An MLLM-Assisted Web Crawler Approach for Web Application Fuzzing by Wantong Yang, Enze Wang, Zhiwen Gui, Yuan Zhou, Baosheng Wang, Wei Xie

“…When integrated with vulnerability audit tools, CrawlMLLM found 44 vulnerabilities in three vulnerable web applications versus 34 by the baseline. In six real-world applications, CrawlMLLM detected 20 vulnerabilities while the next best method found six.…”
Get full text

Eye-tracking dataset of endoscopist-AI teaming during colonoscopy: Retrospective and real-time acquisition by Yan Zhu, Rui-Jie Yang, Pei-Yao Fu, Zhen Zhang, Yi-Zhe Zhang, Quan-Lin Li, Shuo Wang, Ping-Hong Zhou

“…However, few studies address the critical issue of endoscopist-AI collaboration in real-world settings. Eye-tracking data collection is considered a promising approach to uncovering how endoscopists and AI interact and influence each other during colonoscopy procedures. …”
Get full text

Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving by Rajan Chaudhary, Nalin Kumar Sharma, Rahul Kala, Sri Niwas Singh

“…Validated through case studies across simulated and real-world driving cycles, the solution is scalable, computationally efficient, and suitable for real-time applications in Intelligent Transportation Systems (ITS), making it a viable approach for enhancing sustainability in non-communicating vehicle environments.…”
Get full text

Sequential selection and calibration of video frames for 3D outdoor scene reconstruction by Weilin Sun, Manyi Li, Peng Li, Xiao Cao, Xiangxu Meng, Lei Meng

“…Due to the complexity of real‐world, the information provided by a single image is limited, resulting in issues such as object occlusion and omission. …”
Get full text

Effects of sound absorbing facades on the acoustical quality in different simulated inner courtyard situations by Eggenschwiler Kurt, Jansohn Tilljan, Blau Matthias, Schäffer Beat

“…Room acoustical simulations were carried out for eight generic and two real-world models with very large numbers of transmission paths. …”
Get full text

Improved recommender system using Neural Network Collaborative Filtering (NNCF) for E-commerce cosmetic product by Subhan Subhan, Deny Lukman Syarif, Endah Widhihastuti, Senda Kartika Rakainsa, Muhammad Sam'an, Yahya Nur Ifriza

“…To validate the effectiveness of our proposed system, extensive experiments were conducted using real-world e-commerce cosmetic datasets "eCommerce Event History in Cosmetics Shop".   …”
Get full text

Fast Fault-Tolerant Grid Frequency Measurement by Chris Wembridge, Mark Davies, James Lord, Evan Franklin, Sarah Lyden, Michael Negnevitsky

“…The method is demonstrated to provide robust measurements in the presence of simultaneously and rapidly varying voltage and frequency. From real-world measurements, using the Tasmanian power system as a case-study, the method is shown to be equivalent to or outperform measurement devices currently deployed in power systems. …”
Get full text