Algorithms
Research conducted at Shenyang Jianzhu University has led to the development of a new algorithm, SDS-YOLOv8, designed to improve the detection of small-target pollutants on UAV-based building facades. The algorithm's core features include a spatial pyramid pooling structure to enhance feature representation, DySample to adaptively adjust sampling points,
Algorithms
A team of researchers at Dalian Polytechnic University has proposed a novel image encryption algorithm that combines Local Binary Pattern (LBP) with a two-dimensional discrete chaotic model. The algorithm aims to address security issues in image transmission and information copyright disputes. According to the research, the LBP-based watermarking encryption scheme
Algorithms
Researchers at Johns Hopkins University have published a new report on tuberculosis diagnostics, highlighting the importance of characterizing the disease spectrum and its impact on diagnostic algorithm performance. The study emphasizes the need to consider not only the numerical accuracy of diagnostic assays but also the characteristics of the disease
Algorithms
New research from Beihua University has proposed an innovative method for optimizing the trajectory planning of industrial robotic arms, which aims to address the limitations of existing algorithms in efficiently and effectively navigating complex scenarios. The study integrates an improved sparrow search algorithm (NISSA) with elite reverse learning and Cauchy-Gaussian
Algorithms
Researchers from the Kaiser Permanente Division of Research have developed a new algorithm to accurately identify cases of statin-induced myopathy (SIM) using electronic health records. The study, published in the journal Pharmacoepidemiology and Drug Safety, found that the algorithm had 76% sensitivity and 77% specificity in detecting SIM cases, with
Algorithms
Researchers from Southern Technical University, in collaboration with Mahmood A. Al-Shareeda and Ahmad Taher Azar, have developed a novel hybrid application mapping framework that integrates Genetic Algorithm (GA) with Reinforcement Learning (RL) to optimize task allocation in 2D Network-on-Chip based Multiprocessor System-on-Chip (NoC-based MPSoC) architectures. This innovative approach, called Reinforcement
Airlines
A recent study in the Journal of Mathematics has proposed a novel multi-classifier evidence ensemble algorithm for predicting traveler repurchases in the airline industry. According to the research, the algorithm integrates evidence theory with machine learning to account for uncertain, incomplete, and ambiguous data. The study was conducted by a
Algorithms
Researchers from the Kaiser Permanente Division of Research have developed a new algorithm to accurately identify cases of statin-induced myopathy (SIM) using electronic health records. The study, published in the journal Pharmacoepidemiology and Drug Safety, found that the algorithm had 76% sensitivity and 77% specificity in detecting SIM cases, with
Algorithms
Researchers from China Telecommunications Corporation have made groundbreaking discoveries in the field of multi-agent reinforcement learning, specifically in the design and analysis of novel algorithms inspired by information theory. The study, published in the Artificial Intelligence journal, demonstrated the effectiveness of these algorithms in multi-player zero-sum and general-sum Markov games.
Algorithms
Researchers from Szechenyi Istvan University have developed an advanced optimization methodology for truss structures, addressing both elasto-plastic design cases and purely elastic scenarios. The study, published in Fracture and Structural Integrity, focuses on minimizing structural weight while meeting all structural performance criteria. The researchers used a genetic algorithm to determine
Algorithms
A recent study published in Earth Science Informatics has investigated the use of machine learning (ML) algorithms for identifying runways and associated airfield features using open-source satellite imagery. The research, conducted by the Birla Institute of Technology, employed three data pathways, including SAR, optical, and fused SAR-optical data, to train
Algorithms
Research conducted at Shenyang Jianzhu University has led to the development of a new algorithm, SDS-YOLOv8, designed to improve the detection of small-target pollutants on UAV-based building facades. The algorithm's core features include a spatial pyramid pooling structure to enhance feature representation, DySample to adaptively adjust sampling points,
