Results 101 to 110 of about 36,558 (266)

Electrification and Child Work: Direct and Spillover Effects in Ethiopia

Sustainable Development, EarlyView.
ABSTRACT While electrification is often promoted for improving adults' labor supply, its effect on child work remains underexplored. Using four waves of Ethiopian panel data, we examine how electrification affects children's work time. By differentiating between households with and without own electricity access within electrified communities, we ...
Theresa Pieper, Thanh‐Tung Nguyen
wiley   +1 more source

Newton’s Cooling Law-Based Oversampling Technique for Handling Imbalanced Data in Software Defect Prediction

IEEE Access
Class imbalance presents considerable challenges for software defect prediction. However, software defect datasets exhibit additional complex characteristics, with class overlap being the most harmful to prediction performance. Currently, most techniques
Faqiang Wang, Liangliang Tao, Yage Liang, Lilin Zhang, Tianyu Luo   +4 more
doaj   +1 more source

Accuracy and Stability of CUR Decompositions with Oversampling

SIAM Journal on Matrix Analysis and Applications
This work investigates the accuracy and numerical stability of CUR decompositions with oversampling. The CUR decomposition approximates a matrix using a subset of columns and rows of the matrix. When the number of columns and the rows are the same, the CUR decomposition can become unstable and less accurate due to the presence of the matrix inverse in ...
Taejun Park, Yuji Nakatsukasa
openaire   +3 more sources

Five Lessons From a Decade of Sustainable Development Goals Policy Traction

Sustainable Development, EarlyView.
ABSTRACT As the 2030 Sustainable Development Agenda deadline looms, the gap between political commitments and operational outcomes is widening. While previous studies offer fragmented diagnoses, holistic lessons derived from a decade of the Sustainable Development Goals (SDGs) implementation remain lacking. To address this gap, we examine 60 countries'
Volkan Göçoğlu, Elifnur Düzsöz, Prajal Pradhan   +2 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Teaching Mishaps With Mistakes: A Peer‐Led Seminar Using Student Case Studies to Enhance Retention

Teaching Statistics, EarlyView.
ABSTRACT Traditional teaching often emphasizes correct methods, limiting opportunities to explore analytical errors and biases. We introduce a seminar framework that integrates peer‐to‐peer teaching with intentional exposure to statistical and machine learning mishaps through flawed, student‐designed case studies.
Elizabeth Y. Yuu, Bernhard Y. Renard
wiley   +1 more source

Understanding and Mitigating Bias From Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley   +1 more source

Addressing Long‐Tailed Drug–Drug Interactions Through Minimisation of Predictive Uncertainty and Loss Sharpness

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Drug–Drug Interaction (DDI) prediction is critical for ensuring patient safety, particularly under long‐tailed distributions, where frequent (head) interactions dominate whereas rare (tail) interactions remain underrepresented. Conventional loss functions such as cross‐entropy often tend to overfit head classes while they underperform on rare ...
Chao Liu, Xizhao Wang, Farhad Pourpanah, Sam Kwong   +3 more
wiley   +1 more source

Comparative Analysis of Machine Learning Algorithms for Automated Hydrophobicity Classification in Composite Insulators Using Contour Features

High Voltage, EarlyView.
ABSTRACT This study presents a comparative analysis of six machine learning algorithms for automated hydrophobicity classification in composite insulators using contour‐based image features. A robust image‐processing pipeline was developed to extract statistical features from water droplet patterns on insulator surfaces, enabling objective ...
Salihu Salisu, Christos Zachariades, Aliyu Abubakar   +2 more
wiley   +1 more source