Results 81 to 90 of about 5,170 (214)

Not All Missing Data are Equal: Choosing the Right Imputation Method for Binary Datasets

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Missing binary predictors are common in reliability, quality control, and industrial decision systems, yet imputation methods are often chosen by convenience rather than evidence. We conduct a Monte Carlo study comparing mode substitution, sequential hot‐deck, missForest, MICE, and KNN with three neighbourhood sizes under MCAR, MAR, and MNAR ...
Manuel Delfino, Fabio Rapallo
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

An Empirical Study on the Evaluation of Graph‐Based Strategies for Intelligent Modeling Assistants

Software: Practice and Experience, EarlyView.
ABSTRACT Context In the context of model‐driven engineering, the proliferation of intelligent modeling assistants (IMAs) has pushed the boundaries of automation, providing modelers with relevant recommendations based on incomplete modeling artifacts as primary input.
Ilirian Ibrahimi, Claudio Di Sipio, Davide Di Ruscio, Manuel Wimmer   +3 more
wiley   +1 more source

Distributed training of CosPlace for large-scale visual place recognition

Frontiers in Robotics and AI
Visual place recognition (VPR) is a popular computer vision task aimed at recognizing the geographic location of a visual query, usually within a tolerance of a few meters.
Riccardo Zaccone, Gabriele Berton, Carlo Masone   +2 more
doaj   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu, Yan Liu, Xinyu Song, Ruiqing Han, Haiyong Liu, Bo Huang, Yufeng Yao, Ming Zhong   +7 more
wiley   +1 more source

RecBERT: Semantic recommendation engine with large language model enhanced query segmentation for k-nearest neighbors ranking retrieval

Intelligent and Converged Networks
The increasing amount of user traffic on Internet discussion forums has led to a huge amount of unstructured natural language data in the form of user comments. Most modern recommendation systems rely on manual tagging, relying on administrators to label
Richard Wu
doaj   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

An architecture for tactical intention recognition of aerial targets based on unsupervised momentum contrast and transformer

Journal of Big Data
Tactical intention recognition of aerial targets is critical for battlefield decision-making, yet existing supervised deep learning approaches face fundamental challenges due to the extreme scarcity of labeled training data in military domains, where ...
Yafei Song, Lemin Li, Wen Quan, Peng Ni, Wen Sun, Ke Wang, TianPeng Li   +6 more
doaj   +1 more source

A Distributed Storage and Indexing Framework Based on Hierarchical Space-Time Grid Encoding for Digital Cities

ISPRS International Journal of Geo-Information
The rapid prolife ration of digital twin cities has resulted in an unprecedented increase in the volume, heterogeneity, and dynamics of space-time data, posing significant challenges to scalable storage, efficient indexing, and high-performance query ...
Huangchuang Zhang, Weiming Xing, Kai Zhang   +2 more
doaj   +1 more source