EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare [0.03%]
基于双重安全框架的隐私保护联邦学习集成方法用于可持续医疗保健
Bela Shrimali,Jenil Gajjar,Swapnoneel Roy et al.
Bela Shrimali et al.
Recent advances in Artificial Intelligence have highlighted the role of Machine Learning in healthcare decision-making, but centralized data collection raises significant privacy risks. Federated Learning addresses this by enabling collabor...
Examining the influence of deterrent and enhancement factors on QR-code mobile payment continuance intention: insights from PLS-SEM and IPMA analysis [0.03%]
威慑和增强因素对二维码移动支付持续使用的影响研究：基于PLS-SEM和IPMA的分析
Ashikur Rahman,Fahmid Al Farid,Mohammad Abul Bashar et al.
Ashikur Rahman et al.
Introduction: The rise of contactless payment has made quick response (QR) code-mobile payment (QR-MP) platform increasingly popular among mobile financial service (MFS) users, especially in emerging economies. It has bee...
Big data approaches to bovine bioacoustics: a FAIR-compliant dataset and scalable ML framework for precision livestock welfare [0.03%]
基于大数据的牛生物声学方法：符合FAIR原则的数据集和可扩展的机器学习框架以实现精确畜牧业福利
Mayuri Kate,Suresh Neethirajan
Mayuri Kate
The convergence of IoT sensing, edge computing, and machine learning is revolutionizing precision livestock farming. Yet bioacoustic data streams remain underexploited due to computational-complexity and ecological-validity challenges. We p...
Deep learning-enabled hybrid systems for accurate recognition of text in seal images [0.03%]
基于深度学习的混合系统在印章图像文本识别中的应用研究
Keke Zhang,Mingyu Guan,Chao Wu et al.
Keke Zhang et al.
Chinese seals are widely used in various fields within Chinese society as a tool for certifying legal documents. However, recognizing text on these seals presents challenges due to background text, high noise levels, and minimalistic image ...
Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression [0.03%]
COVID-19后健康生活方式意识的动态变化模式：使用Google趋势和分段回归的研究
Zahroh Shaluhiyah,Shabrina Arifia Qatrannada,Roshan Kumar Mahato et al.
Zahroh Shaluhiyah et al.
Introduction: The COVID-19 pandemic has significantly influenced public interest in health-related behaviors, as reflected in online search trends. Analyzing these trends provides insights into shifting health concerns an...
Explainable attrition risk scoring for managerial retention decisions in human resource analytics [0.03%]
人力资源分析中可解释的离职风险评分在管理人才保留决策中的应用
M S Pavithran,S M Vadivel
M S Pavithran
Introduction: Employee turnover remains a significant challenge for organizations as it becomes difficult for them to retain the same employees and continue with their operations efficiently. With the assistance of predic...
Improving early liver metastasis detection in colorectal cancer using a weighted ensemble of ResNet50 and swin transformer: a KHCC study [0.03%]
利用加权集成的ResNet50和swin转换器改进结直肠癌肝转移的早期检测：KHCC研究结果
Ahmad Nasayreh,Hasan Gharaibeh,Rula Al-Qawabah et al.
Ahmad Nasayreh et al.
Colorectal cancer represents the third most diagnosed malignancy globally, with liver metastasis occurring in approximately 50-60% of patients following initial treatment. Current surveillance strategies utilizing carcinoembryonic antigen m...
Bias in AI systems: integrating formal and socio-technical approaches [0.03%]
偏见与AI系统：形式方法与社会技术方法的融合
Amar Ahmad,Yvonne Vallès,Youssef Idaghdour
Amar Ahmad
Artificial Intelligence (AI) systems are increasingly embedded in high-stakes decision-making across domains such as healthcare, finance, criminal justice, and employment. Evidence has been accumulated showing that these systems can reprodu...
Tarak Hussain,B Tirapathi Reddy,Kondaveti Phanindra et al.
Tarak Hussain et al.
Deepfake technology evolves at an alarming pace, threatening information integrity and social trust. We present new multimodal deepfake detection framework exploiting cross-domain inconsistencies, utilizing audio-visual consistency. Its cor...
Hybrid deep learning models for fake news detection: case study on Arabic and English languages [0.03%]
混合深度学习模型在假新闻检测中的应用：阿拉伯语和英语的案例研究
Baqer M Merzah,Jafar Razmara,Zolfaghar Salmanian
Baqer M Merzah
Introduction: Fake news has become a significant threat to public discourse due to the swift spread of online content and the difficulty of detecting and distinguishing it from real news. This challenge is further amplifi...