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 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
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
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
Researchers at Southeast University have made significant progress in maximizing the performance of suspension bridges with the development of an analytical algorithm to estimate the maximum deflection and maximum deck-end rotation angle of two-tower three-span suspension bridges under live load. This breakthrough has been achieved with the support of the
Adults
Researchers have made a significant breakthrough in the field of cardiology by developing an artificial intelligence (AI) tool that can accurately diagnose structural heart disease using single-lead electrocardiograms (ECGs) on smartwatches. The AI algorithm, tested on a group of 600 adults, demonstrated a high level of accuracy in detecting structural
Algorithms
New research from Rajkiya Engineering College has presented a cutting-edge approach to optimizing load balancing in neural network environments, offering a novel algorithm for efficient resource management. This study introduces an Effective Probabilistic Neural Network (EPNN) model, which selects the best cluster for load distribution, and a Round Robin Assigning
Algorithms
Recent advancements in artificial intelligence and machine learning algorithms have significantly broadened their scope of application, including high-stakes medical contexts. However, the use of these algorithms in medical settings requires stringent guardrails to ensure their performance. Researchers from the U.S. Food and Drug Administration (FDA) have assessed the performance
Algorithms
A new research study has shed light on the challenges of high-dimensional data and proposed a dynamic multitask learning framework to address these challenges. The framework, designed by researchers at China Tobacco Zhejiang Industrial Co. Ltd., is an evolutionary optimization setting that integrates competitive learning and knowledge transfer. The method
Advertising
A groundbreaking study conducted by Yale University researchers has revealed new insights into the world of digital advertising, shedding light on the intricacies of data-driven auto-bidding algorithms. The study, which has been peer-reviewed, focuses on the allocation of sponsored search, product, and display advertisements in digital auctions. The research, funded
Artificial intelligence
Researchers at Jiangnan University in China have made significant contributions to the field of cybersecurity threat intelligence by developing a novel algorithm to detect fake CTIs. The algorithm, which uses a generalized language model (GLM)-based system for fake CTI generation, has shown impressive results in identifying and distinguishing between
