Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis by Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tulay Adali

“…In this paper, we introduce an efficient subset-based form of the Tucker decomposition, by selecting coresets from the tensor modes such that the resulting core tensor can well-approximate the full tensor. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Feature selection is crucial in machine learning and data mining, significantly impacting model performance and efficiency by reducing dimensionality, mitigating overfitting, and improving interpretability. …”
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SiFSO: Fish Swarm Optimization-Based Technique for Efficient Community Detection in Complex Networks by Yasir Ahmad, Mohib Ullah, Rafiullah Khan, Bushra Shafi, Atif Khan, Mahdi Zareei, Abdallah Aldosary, Ehab Mahmoud Mohamed

“…Efficient community detection in a complex network is considered an interesting issue due to its vast applications in many prevailing areas such as biology, chemistry, linguistics, social sciences, and others. …”
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces by Panos I. Philippopoulos, Kostas N. Koutrakis, Efstathios D. Tsafaras, Evangelia G. Papadopoulou, Dimitrios Sigalas, Nikolaos D. Tselikas, Stefanos Ougiaroglou, Costas Vassilakis

“…However, it suffers from low accuracy (in NLOS traffic), noise, and multipath fading issues. In large complex spaces, such as museums, where heavy visitor traffic is expected to seriously impact the ability to maintain LOS, RSSI coupled with Bluetooth Low Energy (BLE) seems ideal in terms of market availability, cost-/energy-efficiency and scalability that affect competing technologies, provided it achieves adequate accuracy. …”
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Selective trimerization of ethylene using chromium catalysts complexed with tridentate ligands supported on titanium modified silica by Younes Habibi, Mohamadreza Marefat, Sajjad Gharajedaghi, Masoumeh Mohamadhoseini, Zahra Mohamadnia, Ebrahim Ahmadi

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Optimizing Input Selection for Cardiac Model Training and Inference: An Efficient 3D Convolutional Neural Networks-Based Approach to Automate Coronary Angiogram Video Selection by Shih-Sheng Chang, MD, PhD, Behrouz Rostami, PhD, Gerardo LoRusso, MD, Chia-Hao Liu, MD, Mohamad Alkhouli, MD

“…Objective: To develop an efficient and automated method for selecting appropriate coronary angiography videos for training deep learning models, thereby improving the accuracy and efficiency of medical image analysis. …”
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Algorithm for Computationally Efficient Imaging of Sound Speed in Conventional Ultrasound Sonography by Piotr KARWAT

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Dynamic 3D shape reconstruction under complex reflection and transmission conditions using multi-scale parallel single-pixel imaging by Zhoujie Wu, Haoran Wang, Feifei Chen, Xunren Li, Zhengdong Chen, Qican Zhang

“…Depth measurement and three-dimensional (3D) imaging under complex reflection and transmission conditions are challenging and even impossible for traditional structured light techniques, owing to the precondition of point-to-point triangulation. …”
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Digitalization of the Energy Complex of the Republic of Belarus: State Analysis, Promising Areas, Alternative Proposal for Evaluating Efficiency by A. V. Tsedrik

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Features of efficient schemes of complex-shaped forging stamping in an open die designed using numerical simulation by A. V. Vovchenko, K. A. Kostenko, O. I. Katrich

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Occupational mismatch in the labour market of selected EU countries by Alka Obadić, Viktor Viljevac

“…Regardless of occupation complexity, improvements and deteriorations in labour market conditions affect all groups uniformly. …”
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Selective Photothermal Therapy Using Antioxidant Nanoparticles Encapsulating Novel Near-Infrared-Absorbing Platinum(II) Complexes by Ryota Sawamura, Hiromi Kurokawa, Atsushi Taninaka, Takuto Toriumi, Yukio Nagasaki, Hidemi Shigekawa, Hirofumi Matsui, Nobuhiko Iki

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An algorithm for selecting the parameters of a supercapacitor as part of an energy storage system of an electrical complex in case of voltage dips by Tokarev I.S., Shklyarsky Ya.E., Skvortsov I.V., Vasilkov O.S.

“…In order to achieve the universality of the written algorithm for selecting a storage system based on supercapacitors, experiments were conducted to identify similar mathematical dependencies at different voltage and power levels of electrical complexes.…”
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Dual‐Function Ceramic Pigments for Energy‐Efficient and Secure Autonomous Vehicles by Ik Hoon Jeong, Yong‐Jun Seo, Jum Soo Hwang, Geun Hyeong Kim, Yeong Jae Kim, Gil Ju Lee

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Iterative Assessment of Edge Criticality: Efficiency Enhancement or Hidden Insufficiency Detection by Vasily Lubashevskiy, Hamza Ejjbiri, Ihor Lubashevsky

“…The assessment of edge criticality ranking in complex networks is a challenging issue in network science and has numerous applications, including network decomposition and, conversely, enhancing the resilience and redundancy of complex systems. …”
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Efficient Video Compression Using Afterimage Representation by Minseong Jeon, Kyungjoo Cheoi

“…The proposed approach utilizes optical flow to adaptively select the number of keyframes based on scene complexity, optimizing compression efficiency. …”
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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

“…Similarly, an IRS deployment with 32 elements enhances MARL’s efficiency by leveraging improved signal reflections, leading to significant performance gains. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…This framework is interpretable and helps medical practitioners learn complex patterns in patients. <b>Method:</b> This study addresses these issues by employing boosting algorithms, for enhanced classification accuracy. …”
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The Method of Selecting Boiler Houses under Technical Re-Equipment in a Mini-CHP by Myshkina L.S., Frolova Y.A., Ivanova E.M.

“…To achieve the goal, the following tasks were solved: the ef-fects of the formation of a mini-CHP in the energy district were revealed; a system of criteria has been developed that determines the feasibility of transforming a boiler house; a ranking co-efficient was proposed that reflects the potential for improving efficiency; the methodology was tested. …”
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Technical progress of construction and safe operation of underground gas storage under complex geological conditions by Qiqi WANYAN, Yun WANG, Dongxu LI, Hongcheng XU, Chun LI, Kang LI, Jingcui LI, Lifeng LI

“…In view of the characteristics of the developed gas reservoir fault system, largely buried depth, strong heterogeneity and complex gas-water distribution, breakthroughs were made in the construction and operation of gas reservoir and salt cavern type gas storages in China through over 20 years of hard working in research, and five technology series were formed, including (1) storage site selection and evaluation technology, (2) storage capacity design and evaluation technology, (3) efficient wellbore quality control technology, (4) large displacement injection-production design technology, and (5) risk identification and monitoring technology. …”
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