An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis by Othman A. Alfahad, Husham Saied, Emad Malaekah, Ahmed Al Rashdi, Mohammed Emam, Mohsen Bakouri

“…In this study, our aim is to develop an auto-adjusting algorithm to select coefficients based on the current automatically Received Signal Strength Indicator (RSSI) class. …”
Get full text

Effectiveness of the YEARS Algorithm Added to Classical Clinical Decision-making Rules in Suspected Pulmonary Embolism by Handan Özen Olcay, Şeref Kerem Çorbacıoğlu, Emine Emektar, Yunsur Çevik

“…However, we also showed that the YEARS algorithm may be insufficient for the diagnosis of low rate, positive PE.…”
Get full text

Evaluating the Potential of SDGSAT-1 Glimmer Imagery for Urban Road Detection by Yu Wang, Hailan Huang, Bin Wu

“…Watershed segmentation and optimal thresholding algorithms were applied to extract the road network data of these five cities. …”
Get full text

A Machine Vision Method for Detecting Pineapple Fruit Mechanical Damage by Jiahao Li, Baofeng Mai, Tianhu Liu, Zicheng Liu, Zhaozheng Liang, Shuyang Liu

“…To address these challenges, this paper proposes a pineapple mechanical damage detection method based on machine vision, which segments the damaged region and calculates its area using multiple image processing algorithms. …”
Get full text

An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…Traditional machine learning techniques have been extensively employed for this purpose due to their high accuracy and low false alarm rates. However, these methods often fall short in detecting sophisticated and evolving threats, particularly those involving subtle variations or mutations of known attack patterns. …”
Get full text

Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…The results show that compared to mainstream single detection algorithms, DR-YOLOM multi task detection algorithm has better comprehensive detection ability, and this algorithm can ensure high target recognition accuracy, segmentation accuracy, and appropriate inference speed with a small number of parameters. …”
Get full text

Early Detection of Alzheimer’s Disease Using Generative Models: A Review of GANs and Diffusion Models in Medical Imaging by Md Minul Alam, Shahram Latifi

Get full text

Design of Enhanced Protograph Codes and Codebooks for IDD-SCMA Systems by Jiaqin Chen, Huan Ma, Liang Lv, Wuyang Xue

“…This paper investigates the design of protograph low-density parity-check (PLDPC) codes and Gray-labeling codebooks (CBs) for the sparse code multiple access systems with iterative detection and decoding receiver (IDD-SCMA). …”
Get full text

Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes by Jiaying Ge, Siqi Sun, Jiangping Zeng, Yujie Jing, Huihui Ma, Chunhua Qian, Ran Cui, Shen Qu, Hui Sheng

“…Abstract Background and aims Low muscle mass (LMM) is a critical complication in patients with obesity and diabetes, exacerbating metabolic and cardiovascular risks. …”
Get full text

MAT-PointPillars: Enhanced PointPillars algorithm based on multi-scale attention mechanisms and transformer. by Xinpeng Yao, Peiyuan Liu, Jingmei Zhou, Zijian Wang, Songhua Fan, Yuchen Wang

“…Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”
Get full text

Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations by Martina Casari, Piotr A. Kowalski, Laura Po

“…Driven by the urgent necessity for accurate environmental data in urban settings, this research leverages the Adaptive Neuro-Fuzzy Inference System (ANFIS) as a machine learning-based approach to refine SPS30 low-cost sensor data influenced by hygroscopicity in Turin, Italy. …”
Get full text

Multi-target personnel tracking algorithm for coal mine based on improved YOLOv7 and ByteTrack by Pengcheng QU, Jingzhao LI, Zechao LIU

“…In order to solve the problems of low accuracy and poor real-time performance of existing target tracking algorithms in the complex environment of coal mines, a YOLO-FasterNet+ByteTrack coal mine personnel tracking algorithm was proposed based on the Tracking by Detection (TBD) paradigm. …”
Get full text

ResNet18 facial feature extraction algorithm improved based on hybrid domain attention mechanism. by Yingying Mei

“…After combining channel and spatial attention mechanism, the false detection rate was as low as 2.50%, which was lower than the false detection rate of other methods. …”
Get full text

Water Level Classification for Detect Flood Disaster Status Using KNN and SVM by Jiwa Akbar, Muchtar Ali Setyo Yudono

Get full text

Machine Learning Algorithms to Defend Against Routing Attacks on the Internet of Things: A Systematic Literature Review by Lanka Chris Sejaphala, Vusimuzi Malele, Francis Lugayizi

“…The findings of this paper show that machine learning algorithms are capable of effective detection of many routing attacks with high accuracy and a low False Positive Rate. …”
Get full text

Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations by J. Xia, L. Guan

“…Corrections have been made subsequently to the retrieved cloud fraction in areas where solar glint occurs using a correction curve fitted with sunglint angle as weight. The algorithm includes two steps: the cloud detection is conducted firstly for each AGRI field of view to identify whether it is clear sky, partly cloudy or overcast within the observation field. …”
Get full text

Triplet Spatial Reconstruction Attention-Based Lightweight Ship Component Detection for Intelligent Manufacturing by Bocheng Feng, Zhenqiu Yao, Chuanpu Feng

“…Experimental validation on a small-scale actual ship component dataset demonstrates that the improved network achieves 88.7% mean Average Precision (mAP), 84.2% precision, and 87.1% recall, representing improvements of 3.5%, 2.2%, and 3.8%, respectively, compared to the original YOLOv8n algorithm, requiring only 2.6 M parameters and 7.5 Giga Floating-point Operations per Second (GFLOPs) computational cost, achieving a good balance between detection accuracy and lightweight model design. …”
Get full text

Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

Get full text

Vehicle detection in drone aerial views based on lightweight OSD-YOLOv10 by Yang Zhang, Xiaobing Chen, Su Sun, Hongfeng You, Yuanyuan Wang, Jianchu Lin, Jiacheng Wang

“…Abstract To address the challenges of low performance in vehicle image detection from UAV aerial imagery, difficulties in small target feature extraction, and the large parameter size of existing models, we propose the OSD-YOLOv10 algorithm, an enhanced version based on YOLOv10n. …”
Get full text

Target Detection and Image Enhancement for Underwater Environment: Research on Improving YOLOv7 by Yang Luo, Wen Feng

“…Aiming at the common low accuracy and efficiency problems in underwater target detection, this paper designs an innovative algorithm based on the YOLOv7 framework. …”
Get full text