Parameter-efficient fine-tuning for low-resource text classification: a comparative study of LoRA, IA3, and ReFT [0.03%]
参数高效微调在低资源文本分类中的应用：LoRA、IA3和ReFT的比较研究
Steve Nwaiwu
Steve Nwaiwu
The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning. This challenge is particularly acute in low...
Adaptive deep Q-networks for accurate electric vehicle range estimation [0.03%]
自适应深度Q网络在电动汽车剩余续航里程估算中的应用研究
Urvashi Khekare,Rajay Vedaraj I S
Urvashi Khekare
It is critical that electric vehicles estimate the remaining driving range after charging, as this has direct implications for drivers' range anxiety and thus for large-scale EV adoption. Traditional approaches to predicting range using mac...
M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring [0.03%]
基于动量的非光滑优化算法及其在图像去模糊中的应用
Kexin Ning,Qingguo Lü,Xiaofeng Liao
Kexin Ning
In this study, we focus on investigating a nonsmooth convex optimization problem involving the l 1-norm under a non-negative constraint, with the goal of developing an inverse-problem solver for image deblurring. Research focused on solving...
Intelligent leak monitoring of oil pipeline based on distributed temperature and vibration fiber signals [0.03%]
基于分布式温度和振动光纤信号的原油管道泄漏智能监测方法
Xiaobin Liang,Yonghong Deng,Yibin Wang et al.
Xiaobin Liang et al.
Due to long-term usage, natural disasters and human factors, pipeline leaks or ruptures may occur, resulting in serious consequences. Therefore, it is of great significance to monitor and conduct real-time detection of pipeline leaks. Curre...
Integrated analysis for drug repositioning in migraine using genetic evidence and claims database [0.03%]
基于遗传证据和保险理赔数据库的偏头痛药物再定位综合分析
Shoichiro Inokuchi,Takumi Tajima
Shoichiro Inokuchi
Introduction: Migraine is a prevalent neurological disorder with a substantial socioeconomic burden, underscoring the need for continued identification of therapeutic targets. Given the significant role of genetic factors...
CrossDF: improving cross-domain deepfake detection with deep information decomposition [0.03%]
基于深度信息分解的跨域深伪检测技术 CrossRef DeepDF: 改进的跨领域深伪视频检测方法
Shanmin Yang,Hui Guo,Shu Hu et al.
Shanmin Yang et al.
Deepfake technology represents a serious risk to safety and public confidence. While current detection approaches perform well in identifying manipulations within datasets that utilize identical deepfake methods for both training and valida...
Robust detection framework for adversarial threats in Autonomous Vehicle Platooning [0.03%]
自动驾驶车辆队列中对抗威胁的鲁棒检测框架
Stephanie Ness
Stephanie Ness
Introduction: The study addresses adversarial threats in Autonomous Vehicle Platooning (AVP) using machine learning. Methods: A novel m...
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers [0.03%]
基于卡方特征选择和机器学习分类器的SQL注入增强检测方法
Emanuel Casmiry,Neema Mduma,Ramadhani Sinde
Emanuel Casmiry
In the face of increasing cyberattacks, Structured Query Language (SQL) injection remains one of the most common and damaging types of web threats, accounting for over 20% of global cyberattack costs. However, due to its dynamic and variabl...
Implementation of a net benefit parameter in ROC curve decision thresholds for AI-powered mammography screening [0.03%]
基于人工智能的乳腺癌筛查中ROC曲线决策界值的净效益参数的实现
Anastasia Petrovna Pamova,Yuriy Aleksandrovich Vasilev,Tatyana Mikhaylovna Bobrovskaya et al.
Anastasia Petrovna Pamova et al.
Background: The rapid integration of artificial intelligence (AI) into mammography necessitates robust quality control methods. The lack of standardized methods for establishing decision thresholds on the Receiver Operati...
Achieving health equity in immune disease: leveraging big data and artificial intelligence in an evolving health system landscape [0.03%]
免疫性疾病中的实现健康公平性：在不断变化的医疗体系格局中利用大数据和人工智能技术
Stan Kachnowski,Asif H Khan,Shadé Floquet et al.
Stan Kachnowski et al.
Prevalence of immune diseases is rising, imposing burdens on patients, healthcare providers, and society. Addressing the future impact of immune diseases requires "big data" on global distribution/prevalence, patient demographics, risk fact...