Slot Parameter Optimization for Multiband Antenna Performance Improvement Using Intelligent Systems by Erdem Demircioglu, Ahmet Fazil Yagli, Senol Gulgonul, Haydar Ankishan, Emre Oner Tartan, Murat H. Sazli, Taha Imeci

“…The slot parameters on MMPA are modeled using soft computing technique of artificial neural networks (ANN). …”
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Sensor selection scheme in activity recognition based on hierarchical feature reduction by Yu Wei, Libin Jiao, Jie Sha, Jixin Ma, Anton Umek, Anton Kos

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Silicon‐Based Optical Switch with Ge2Sb2Te5‐Enabled Phase‐Shifting Region by Xiaojun Chen, Jiao Lin, Ke Wang

“…With the rapid development of communication networks and computing, optical switches as an important elementary unit are highly needed. …”
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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

“…Diffractive Neural Networks (DNNs) leverage the power of light to enhance computational performance in machine learning, offering a pathway to high-speed, low-energy, and large-scale neural information processing. …”
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A Secure Object Detection Technique for Intelligent Transportation Systems by Jueal Mia, M. Hadi Amini

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Impact of Data Centers on Climate Change: A Review of Energy Efficient Strategies by Daniel Raphael Ejike Ewim, Nwakamma Ninduwezuor-Ehiobu, Ochuko Felix Orikpete, Blessed Afeyokalo Egbokhaebho, Akeeb Adepoju Fawole, Chiemela Onunka

“… The rapid proliferation of digital services and the surge in cloud computing have significantly increased the demand for data centers worldwide. …”
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Recurrent Patterns of User Behavior in Different Electoral Campaigns: A Twitter Analysis of the Spanish General Elections of 2015 and 2016 by S. Martin-Gutierrez, J. C. Losada, R. M. Benito

“…The availability of data from two electoral campaigns that are very close in time allows us to compare collective behaviors of two analogous social systems with a similar context. By computing and analyzing the time series of daily activity, we have found a significant linear correlation between both elections. …”
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Authenticated encryption mode with blocks skipping by A. V. Sokolov, D. A. Isakov

“…As proposed in this paper, the mode of authenticated encryption with blocks skipping can be recommended for use on mobile platforms that are demanding both in terms of the quality and reliability of the protected information and are limited in terms of computing and power resources.…”
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Mathematics as Information Compression via the Matching and Unification of Patterns by J. Gerard Wolff

“…This perspective on the foundations of mathematics has grown out of a long-term programme of research developing the SP Theory of Intelligence and its realization in the SP Computer Model, a system in which a generalised version of ICMUP—the powerful concept of SP-multiple-alignment—plays a central role. …”
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The Measurement of different mechanical components using Machine Vision and digital image processing by Ram Prakash T, M.Rishidev, N. Vignesh, S.A Vishnu Bahavath

“… Machine vision system is a technology that employs a computing device to inspect, evaluate, and identify still or moving parts.  …”
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Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board by Riadh Khenfer, Mohamed Mostefai, Seddik Benahdouga, Mounir Maddad

“…This I-V curve tracer is based on a microcontroller board family called chipKIT Max32 which is a popular platform for physical computing. A user program can be developed visually on a PC side via the graphical user interface (GUI) in Matlab Simulink, where the chipKIT Max32 of Digilent which is a low-cost board is designed for use with the Arduinompid software. …”
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Impact of Digital Inclusive Finance on Rural High-Quality Development: Evidence from China by Le Sun, Congmou Zhu

“…Therefore, it is recommended to increase the construction of rural digital infrastructure, improve the digitalization of inclusive finance with the help of digital technologies such as cloud computing, and expand the breadth and depth of digital inclusive finance services in rural areas, especially in economically underdeveloped provinces and cities, to effectively promote the comprehensive and high-quality development of rural areas.…”
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Spiking Neural P Systems with Polarizations and Rules on Synapses by Suxia Jiang, Jihui Fan, Yijun Liu, Yanfeng Wang, Fei Xu

“…Furthermore, a universal PSNRS P system with 151 neurons for computing any Turing computable functions is given. …”
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ASM-Based Objectionable Image Detection in Social Network Services by Sung-Il Joo, Seok-Woo Jang, Seung-Wan Han, Gye-Young Kim

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Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors by Xiaohua Li, Bo Lu, Wasiq Ali, Jun Su, Haiyan Jin

“…The simulation results show that the proposed algorithm works well in a passive multiple-target tracking system under dense clutter environment, and its computing cost is low.…”
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Evaluation of the Economic Relationships on the Basis of Statistical Decision-Making in Complex Neutrosophic Environment by Abdul Nasir, Naeem Jan, Abdu Gumaei, Sami Ullah Khan, Mabrook Al-Rakhami

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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…Fully distributed BO addresses the need for efficient parallel and asynchronous active search, especially where traditional centralized BO faces limitations concerning privacy in federated learning and resource utilization in high-performance computing settings. Boltzmann sampling is an embarrassingly parallel method that enables fully distributed BO using Monte Carlo sampling. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

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Evaluating network test scenarios for network simulators systems by Anis Zarrad, Izzat Alsmadi

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Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs by Zebin Wu, Shun Ye, Jie Wei, Zhihui Wei, Le Sun, Jianjun Liu

“…The spectral mixture problem seriously influences the efficiency of hyperspectral data exploitation, and endmember extraction is one of the key issues. Due to the high computational cost of algorithm and massive quantity of the hyperspectral sensor data, high-performance computing is extremely demanded for those scenarios requiring real-time response. …”
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