SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

“…A Bacterial Foraging Optimizer (BFO) built around variance maximization retains high-density as well as discriminative features during feature selection. A novel Convolutional XGBoost Network (CXGBN) combines CNN's completely connected layers with XGBoost classifications for enhanced efficiency. …”
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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. …”
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Hydrothermal leaching behavior of a complex polymetallic secondary sulfide concentrate enhanced by ultrasonication by Liu Q.F., Liao Y.L., Li J.L., Wu M.

“…Complex polymetallic secondary sulfide concentrate (CPSSC) is difficult to be efficiently utilized because of its special mineral phase structure and high lead and iron content. …”
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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. …”
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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. …”
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Spatial performance evaluation and optimization of integrated aboveground and underground spaces in urban commercial complexes by Xiaochun Hong, Shengcai Li, Tao Chen, Xiang Ji, Xinlan Song

“…Specific optimization directions for selected case studies are outlined. The study’s conclusions guide the scientific development of integrated spaces in urban commercial complexes, ultimately enhancing overall efficiency.…”
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Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication by Hao Wang

“…Furthermore, the implementation of Dijkstra’s algorithm enables efficient path selection with low computational complexity. …”
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Mereological approach to higher-order structure in complex systems: From macro to micro with Möbius by Abel Jansma

“…Relating macroscopic observables to microscopic interactions is a central challenge in the study of complex systems. While current approaches often focus on pairwise interactions, a complete understanding requires going beyond these to capture the full range of possible interactions. …”
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MFA-net: Object detection for complex X-ray cargo and baggage security imagery. by Thanaporn Viriyasaranon, Seung-Hoon Chae, Jang-Hwan Choi

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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. …”
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A COGNITIVE APPROACH FORMING THE BASIS OF SYSTEM AND FINANCIAL ANALYSIS OF COMPLEX RESEARCH OBJECTS by A. N. Vetrov

“…It is based on the generated system of analytical coefficients, each representing a complex of parameters (indicators), echeloned for a series of portraits and stratified into several independent sets, arranged on two different levels of the selected hierarchy (structure).Conclusion. …”
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Construction and validation of a test for the assessment of psychological complexes based on Jungian analytical psychology by Mohammad Khorsandi, Fatemeh Golshani, Fariba Hassani, Roya Koochak Entezar

“…Also, the correlation coefficient of the complex questionnaire with the list of positive and negative psychological emotions showed its desired criterion (simultaneous) validity. …”
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Formation of ternary organic acids-Fe-P complexes on the growth of wheat (Triticum aestivum) by Djalma E. Schmitt, Luciano C. Gatiboni, Daniel J. D. Orsoletta, Gustavo Brunetto

“…Two experiments were carried out to evaluate the formation of organic acid-Fe-P complexes in the laboratory and the efficiency of these complexes on the growth of wheat plants (T. aestivum) grown under greenhouse conditions. …”
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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. …”
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Robust JND-Guided Video Watermarking via Adaptive Block Selection and Temporal Redundancy by Antonio Cedillo-Hernandez, Lydia Velazquez-Garcia, Manuel Cedillo-Hernandez, Ismael Dominguez-Jimenez, David Conchouso-Gonzalez

“…Watermark bits are embedded selectively in blocks with high perceptual masking using a QIM strategy, and the corresponding DCT coefficients are estimated directly from the spatial domain to reduce complexity. …”
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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.  …”
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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. …”
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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. …”
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Real-Time Power System Event Detection: A Novel Instance Selection Approach by Gabriel Intriago, Yu Zhang

“…A cost and complexity analysis of the algorithm is discussed. With reduced computational effort, the classifier can handle high-velocity, high-volume, and evolving data streams from the PMUs. …”
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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. …”
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