Optimizing Sensor Placement for Event Detection: A Case Study in Gaseous Chemical Detection by Priscile Fogou Suawa, Christian Herglotz

“…In dynamic industrial environments, strategic sensor placement is key to accurately monitoring equipment and detecting critical events. Despite progress in Industry 4.0 and the Internet of Things, research on optimal sensor placement remains limited. …”
Get full text

Distributed optimization for IoT attack detection using federated learning and Siberian Tiger optimizer by Brij B. Gupta, Akshat Gaurav, Wadee Alhalabi, Varsha Arya, Eman Alharbi, Kwok Tai Chui

“…After optimizing the hyperparameters of the model at the server, the Siberian Tiger Optimization (STO) method distributes these values to clients for dispersed training. …”
Get full text

A Drilling Debris Tracking and Velocity Measurement Method Based on Fine Target Feature Fusion Optimization by Jinteng Yang, Yu Bao, Zumao Xie, Haojie Zhang, Zhongnian Li, Yonggang Li

Get full text

A new RP-HPLC method as an auxiliary tool for optimization of sample preparation procedures for tracing of PPCPs of different hydrophilicities by Portillo-Castillo Omar J., Castro-Ríos Rocío, Chávez-Montes Abelardo, González-Horta Azucena, Cavazos-Rocha Norma, De Torres Noemí Waksman, Garza-Tapia Marsela

Get full text

Detection and Optimization of Traffic Networks Based on Voronoi Diagram by Rui Tao, Jian Liu, Yuqing Song, Rui Peng, Dali Zhang, Jiangang Qiao

“…We present a traffic peak detection method, which constructs the Voronoi diagram of the input traffic flow data and computes the prominence of candidate peak points using the diagram. …”
Get full text

Adaptive weight optimization with large pretraining for pest detection by Kejian Yu, Wenwen Xu, Fuqin Geng, Yunzhi Wu

“…Herein, we propose an adaptive weight optimization method based on transfer learning for multimodal pest detection. …”
Get full text

Optimizing screening procedures for early detection of glycemic disorders by Inna Vladimirovna Misnikova, Alexander Vasil'evich Dreval, Yulia Alexandrovna Kovaleva, Valeria Alekseevna Gubkina, Tatiana Sergeevna Lakeeva

“…To estimate the actual prevalence of type 2 diabetes mellitus (T2DM) and prediabetes in individuals at high risk for T2DM and to develop an optimized stepwise screening procedure. Materials and Methods. …”
Get full text

Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases by Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Saravanapriya Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, Anjanabhargavi Kulkarni, Abdulrajak Buradi, Addisu Frinjo Emma, Naoufel Kraiem

“…Abstract In our data-driven world, the healthcare sector faces significant challenges in the early detection and management of Non-Communicable Diseases (NCDs). …”
Get full text

Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets by Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish

Get full text

Initial evaluation of a state-wide multi-method survey to estimate koala occupancy and abundance by Graeme R. Gillespie, Nicole Gallahar, Allen P. McIlwee, Benjamin Douglas Hope, Elliot B. Webb, Matthew Clements, Veronica F. Gama, Madison Casley, Tim S. Jessop

“…We evaluated how these methods, individually and combined, influenced koala detection, occupancy, and relative abundance-related performance criteria to optimise the state-wide koala survey. …”
Get full text

Development of fault detection system in irrigation pumping systems using machine learning methods with consideration of energy and water consumption by Gulnar Zholdangarova, Waldemar Wójcik

Get full text

A Coverage-Based Cooperative Detection Method for CDUAV: Insights from Prediction Error Pipeline Modeling by Jiong Li, Xianhai Feng, Yangchao He, Lei Shao

“…To address the challenges of detection and acquisition caused by trajectory prediction errors during the midcourse–terminal guidance handover phase in cross-domain unmanned aerial vehicles (CDUAV), this study proposes a collaborative multi-interceptor detection coverage optimization method based on predictive error pipeline modeling. …”
Get full text

Optimization of Parameters and Comparison of Detection Signals for Planar Coil Particle Detection Sensors with Different Core Materials by Changzhi Gu, Chao Liu, Bo Liu, Wenbo Zhang, Chenzhao Bai, Chenyong Wang, Yuqing Sun, Hongpeng Zhang

“…We obtain the sensor structure after optimizing the magnetic field. The sensor is made using experimental methods, and the iron particles and copper particles are detected. …”
Get full text

IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

“…In recent years, network traffic increases exponentially with the iteration of devices, while more and more attacks are launched against various applications.It is significant to identify and classify attacks at the traffic level.At the same time, with the explosion of Internet of Things (IoT) devices in recent years, attacks on IoT devices are also increasing, causing more and more damages.IoT intrusion detection is able to distinguish attack traffic from such a large volume of traffic, secure IoT devices at the traffic level, and stop the attack activity.In view of low detection accuracy of various attacks and sample imbalance at present, a random forest based intrusion detection method (Resample-RF) was proposed, which consisted of three specific methods: optimal sample selection algorithm, feature merging algorithm based on information entropy, and multi-classification greedy transformation algorithm.Aiming at the problem of unbalanced samples in the IoT environment, an optimal sample selection algorithm was proposed to increase the weight of small samples.Aiming at the low efficiency problem of random forest feature splitting, a feature merging method based on information entropy was proposed to improve the running efficiency.Aiming at the low accuracy problem of random forest multi-classification, a multi-classification greedy transformation method was proposed to further improve the accuracy.The method was evaluated on two public datasets.F1 reaches 0.99 on IoT-23 dataset and 1.0 on Kaggle dataset, both of which have good performance.The experimental results show that the proposed model can effectively identify the attack traffic from the massive traffic, better prevent the attack of hackers on the application, protect the IoT devices, and thus protect the related users.…”
Get full text

Method of Non-Coherent Detection of Repeated Signals by A. P. Los’, A. K. Rozov

Get full text

A PERFORMANCE-BASED APPROACH TO AIRSPACE OPTIMIZATION USING WIND-OPTIMAL TRACKS NETWORK IN HO CHI MINH FIR by Ngoc Hoang Quan NGUYEN, Minh Hoang LE, Trinh Binh DINH, Phuc Ky NGUYEN, Thu Thao NGUYEN, Toan Thinh LE, Van Tien Son NGUYEN, Hoang Vu NGUYEN

Subjects: “…optimization method…”
Get full text

GreyWolfLSM: an accurate oil spill detection method based on level set method from synthetic aperture radar imagery by Nastaran Aghaei, Gholamreza Akbarizadeh, Abdolnabi Kosarian

Subjects: “…Oil spill detection…”
Get full text

Lightweight blasthole image detection and positioning method by Shan PAN, Ting YU, Zhongwen YUE, Zijian TIAN, Qingyu JIN

Get full text

Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization by Kailun Ji, Ping Wang, Yinliang Jia

Get full text

Model updating method for detect and localize structural damage using generalized flexibility matrix and improved grey wolf optimizer algorithm (I-GWO) by Sina Sadraei, Majid Gholhaki, Omid Rezaifar

“…Furthermore, they show that when compared to grey wolf optimizer (GWO) and particle swarm optimizer (PSO), I-GWO can offer a dependable method for precisely detecting damage.…”
Get full text