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
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
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 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
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 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 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
Sriwijaya University researchers have investigated the comparative performance of four algorithms in analyzing the sentiment of user feedback obtained from the Google Play Store. The study focused on user reviews of the public service app SIGNAL, which provides public access to information and vehicle tax payments. The research team evaluated
Algorithms
Research conducted by Henan University has yielded a new method for extracting spatial distribution and single tree information of oil palm trees across Malaysia. Using sub-meter visible light satellite images, the Single Tree Extraction Method-Oil Palm (STEM-OP) was developed to achieve an overall accuracy of over 90% and 80% for
Algorithms
Researchers from the Ocean University of China have made a groundbreaking discovery in the field of Mathematics, shedding light on the optimal preparation parameters for Reverse Osmosis (RO) membranes. According to the study, self-prepared RO membranes can achieve 99% NaCl rejection by employing machine learning algorithms and genetic optimization techniques.
Algorithms
Researchers at the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV) have made significant progress in understanding the properties of bilayer graphene. By implementing the integral and differential versions of the second-order confluent algorithm, the team was able to obtain external magnetic field profiles leading to
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,
