RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…This strategy is innovative in improving relay selection efficiency and optimizing network performance. …”
Get full text

ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection by Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Saad Alqahtany, Juan M. Corchado

“…By automating the selection process, the method aims to reduce the reliance on trial-and-error methods, streamline the anomaly detection workflow, and lead to more robust, adaptable, and efficient anomaly detection systems. …”
Get full text

Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

“…Finally, a Pareto-optimized client selection method is introduced to efficiently select reliable clients for global aggregation, ensuring both the stability and robustness of the global model. …”
Get full text

Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

“…The study examined the corrective ability of codes in the case of a supplementary Gaussian channel with binary phase modulation (OFDM-modulation, 2PSK and 4PSK absolute phase manipulation) in the selection of an energy-efficient approach to the design of ionospheric radio communication system. …”
Get full text

The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis by Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher, Gabriela Canalizo, Barry C. Barish, Irene Shivaei, Alison L. Coil, Nima Chartab, Marziye Jafariyazani, Naveen A. Reddy, Mojegan Azadi

“…The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional data sets. …”
Get full text

RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…To address this challenge, this paper proposes a novel, automated structural damage detection technique called <i>Simplicial Complex</i> Enhanced Manifold Embedding (SCEME). The key innovation of SCEME is the reduction of dimensions in both the temporal and spatial domains for efficient and information-preserving feature extraction. …”
Get full text

Selective Separation of Scandium in Acidic Water Using Carboxyl Functionalized Covalent Phosphonitrile Polymers by Yu BAI, Ayinuer WUSHUER, Lei OUYANG, Lijin HUANG, Qin SHUAI

“…Considering that acid treatment is often required when processing raw materials such as Sc containing tailings, it is crucial to prepare adsorbents that can efficiently and selectively recover Sc(III) in acidic media.　　…”
Get full text

Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
Get full text

A Review on Pyroprocessing Techniques for Selected Wastes Used for Blended Cement Production Applications by Protus Nalobile, Jackson Muthengia Wachira, Joseph Karanja Thiong’o, Joseph Mwiti Marangu

Get full text

Dual path biphasic column for highly selective and ultrafast organic solvent membrane extraction by Baekmin Q. Kim, Jaehong Lee, Hanul Kim, Subeen Kim, Kyoungmun Lee, Dong-Yeun Koh, Siyoung Q. Choi

“…To address this, in this study, we develop a biphasic column for organic solvent membrane extraction, which consists of closely packed micron-sized water droplets covered by sub-nanometer-thick ion-ligand complexes that serve as size-exclusive membranes. Molecular mixtures dissolved in an organic solvent can be selectively extracted into the droplets through the interfacial complexes based on their sizes, while the solvent flows through the micron-scale interstices between the droplets. …”
Get full text

Enhanced Anomaly Detection in IoT Networks Using Deep Autoencoders with Feature Selection Techniques by Hamza Rhachi, Younes Balboul, Anas Bouayad

“…However, this task is tough due to the unpredictable nature of anomalies and the complexity of the environment. This paper offers a technique that uses an autoencoder neural network to identify anomalous network communications in IoT networks. …”
Get full text

Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…Feature selection finds the most relevant features, thus reduces the dimensionality and complexity to analyze the network traffic.  …”
Get full text

A Study of Transmission Point Selection for Multi-Connectivity in Multi-Band Wireless Networks by Eunkyung Kim, Dongwan Kim, Changbeom Choi

“…The proposed point selection algorithm attains lower computational complexity with a 2-approximation of the optimal solution. …”
Get full text

Patient-specific vascular models for optimal catheter selection: Two aneurysm embolization cases by Ryo Morita, MD, PhD, Daisuke Abo, MD, PhD, Takaaki Fujii, MD, Naoya Kinota, MD, Daisuke Kato, MD, Kouji Yamasaki, MD, Motoma Kanaya, MD, Taisuke Harada, MD, PhD, Osamu Sugita, Ph.D, Norio Kawamura, MD, PhD, Akinobu Taketomi, MD, PhD, Kohsuke Kudo, MD, PhD

“…Patient-specific vascular models enhance preoperative planning in interventional radiology, particularly in complex and anatomically challenging cases. This report presents two cases of complex aneurysm coil embolization in which three-dimensional, printed, patient-specific vascular hollow models were key to selecting optimal catheters, leading to successful interventions. …”
Get full text

PCMINN: A GPU-Accelerated Conditional Mutual Information-Based Feature Selection Method by Nikolaos Papaioannou, Georgios Myllis, Alkiviadis Tsimpiris, Stamatis Aggelopoulos, Vasiliki Vrana

“…The parallelized approach allows for the efficient processing of large datasets, making PCMINN a valuable tool for high-dimensional feature selection tasks. …”
Get full text

Deep Ensemble Learning for Application Traffic Classification Using Differential Model Selection Technique by Ui-Jun Baek, Yoon-Seong Jang, Ju-Sung Kim, Yang-Seo Choi, Myung-Sup Kim

“…As the Internet evolves, application traffic is becoming increasingly diverse and complex, leading network administrators to demand more accurate application traffic classification. …”
Get full text

Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform by Mijanur Rahaman Seikh, Arnab Mukherjee

“…By leveraging the CRADIS method alongside Fermatean fuzzy set theory, decision-makers can navigate the complex landscape of online shopping platforms with greater confidence and efficiency, ultimately leading to more satisfactory outcomes for both consumers and businessesalike.…”
Get full text

Enhancing Security in Industrial IoT Networks: Machine Learning Solutions for Feature Selection and Reduction by Ahmad Houkan, Ashwin Kumar Sahoo, Sarada Prasad Gochhayat, Prabodh Kumar Sahoo, Haipeng Liu, Syed Ghufran Khalid, Prince Jain

“…By comparing these methods, it showcases their influence on both model performance and complexity, leading to the development of more efficient and precise intrusion detection systems for Industrial IoT networks. …”
Get full text

An Integrated Node Selection Model Using FAHP and FTOPSIS for Data Retrieval in Ubiquitous Computing by Belal Z. Hassan, Ahmed. A. A. Gad-Elrab, Mohamed S. Farag, Shaban E. Abo Youssef

“…In this paper, to assist users to efficiently select their most preferred service provider for retrieving data, a new fuzzy integrated multicriteria decision-making model, which meets quality of context (QoC) and quality of service (QoS) and satisfies user quality requirements and needs, is proposed. …”
Get full text

The effect of the strategy to nominate ideas on divided and selective attention and perform some volleyball skills by Fadya Abdul Hussein Kadhim, Alyaa Hussein Farhan, Tahseen Husnl Tahseen, Suhad Qassem Saeed Al-Mousawi, Haider Radhi Raheem

“…This suggests that implementing cognitive strategies such as the nomination of ideas can positively influence attentional focus, enabling athletes to process information more efficiently and execute complex skills with greater precision. …”
Get full text