An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems by A. Sasikumar, Logesh Ravi, Malathi Devarajan, Abdulaziz S. Almazyad, Shuvodeep De, Guojiang Xiong, Seyed Jalaleddin Mousavirad, Ali Wagdy Mohamed

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q-Fractional Hesitant Fuzzy Sets and Their Correlation Coefficients: Multi-Criteria Decision Making Technique for Selection of Agricultural Land to Cultivate Apples Crops by Nadeem Ajaib, Khizar Hayat, Dragan Pamucar, Kamran Kausar

“…The q-Fractional Fuzzy Sets (q-FrFSs) offers information in Membership Grade (MG) and Non-membership Grade (NMG) of an object; however, both grades have the hesitancy factor because complex information usually does not give single MG and single NMG. …”
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Development of TOPSIS Technique under Pythagorean Fuzzy Hypersoft Environment Based on Correlation Coefficient and Its Application towards the Selection of Antivirus Mask in COVID-... by Rana Muhammad Zulqarnain, Imran Siddique, Fahd Jarad, Rifaqat Ali, Thabet Abdeljawad

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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…These findings affirm the potential of mHLOA as a powerful optimization framework for advanced feature selection and complex optimization problems.…”
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THE SELECTION OF THE INITIAL MATERIAL FOR VARIOUS DIRECTIONS OF MAIZE BREEDING ON THE BASIS OF MULTI-CRITERIA ESTIMATION by G. Ya. Krivosheev, A. S. Ignatiev, A. G. Gorbacheva, I. A. Vetoshkina

“…Average variability was identified in grain productivity (V = 14.8–18.2%), drought resistance index (V = 10.5%), harvesting moisture of grain (V = 18.6%). The use of the complex of main economically valuable traits for the integrated assessment (SD), taking into account the specified contributions (Rk) and weight coefficients (Wi), made it possible to rank the initial material according to its value for various areas of selection. …”
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Explainable AI for Enhancing Efficiency of DL-Based Channel Estimation by Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour, Laurent Clavier

“…Hence the designed XAI-CHEST delivers a smart low-complex one-shot input feature selection methodology for high-dimensional model input that can further improve the overall performance while optimizing the architecture of the employed model. …”
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The Significant Effects of Threshold Selection for Advancing Nitrogen Use Efficiency in Whole Genome of Bread Wheat by Mohammad Bahman Sadeqi, Agim Ballvora, Said Dadshani, Md. Nurealam Siddiqui, Mohammad Kamruzzaman, Ahossi Patrice Koua, Jens Léon

“…ABSTRACT Currently in wheat breeding, genome wide association studies (GWAS) have successfully revealed the genetic basis of complex traits such as nitrogen use efficiency (NUE) and its biological processes. …”
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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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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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The Method of Selecting Boiler Houses under Technical Re-Equipment in a Mini-CHP by Myshkina L.S., Frolova Y.A., Ivanova E.M.

“…The significance of the results lies in the fact that the proposed methodology makes it possible to increase the validity of decisions when transforming a boiler house into a mini-CHPP. The use of the selection results will lead to an increase in the economic efficiency of the heat supply system. …”
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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 Selection Equipment to Reduce the Technogenic Effect on the Environment by Kozii I.S., Plyatsuk L.D., Koval V.V.

“…The work is devoted to the development of an algorithm for selection dust and gas purification equipment in order to reduce the anthropogenic impact on the environment from emissions of the heat, power and chemical industries, which are sources of complex environmental pollution. …”
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An investigation of organizational structure in selected hospitals of Tehran and its relationship with hospital performance indicators by B nejati zarnaqi, H Mohammad Ebrahimi, O khalilifar, S Shahraki

“…The data were analyzed by Mann-Whitney test, Kruskal-Wallis test, and Spearman correlation coefficients using SPSS software. Results: According to our results, among the dimensions of organizational structure, the complexity was in midrange, while centralization and formalization were in the high level. …”
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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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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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