Hybridization of deep learning models with crested porcupine optimizer algorithm-based cybersecurity detection on industrial IoT for smart city environments by Sarah A. Alzakari, Mohammed Aljebreen, Mashael M. Asiri, Wahida MANSOURI, Sultan Alahmari, Mohammed Alqahtani, Shaymaa Sorour, Wafi Bedewi

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Algorithm for Finding Feedback in a Problem with Constraints for One Class of Nonlinear Control Systems by Michail G. Dmitriev, Zainelkhriet N. Murzabekov, Gulbanu A. Mirzakhmedova

“…For this, the solution of an auxiliary optimal control problem with a quadratic functional is used by analogy with the SDRE approach.Since this approach is used in the literature to find suboptimal synthesis in optimal control problems with a quadratic functional with formally linear systems, where all coefficient matrices in differential equations and criteria can contain state variables, then on a finite time interval it becomes necessary to solve a complicated matrix differential Riccati equations, with state-dependent coefficient matrices. …”
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Issues on a 2–Dimensional Quadratic Sub–Problem and Its Applications in Nonlinear Programming: Trust–Region Methods (TRMs) and Linesearch Based Methods (LBMs) by Giovanni Fasano, Christian Piermarini, Massimo Roma

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Development and Validation of an Affordable Wearable Multichannel EEG System With Active Electrodes and Innovative Flexible Headbands by Daniel Antolinez, Ana Cisnal, Victor Martinez-Cagigal, Eduardo Santamaria-Vazquez, Diego Benavides, Juan Granja, Juan Carlos Fraile, Roberto Hornero

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Investigation of Perforated Tube Configuration Effect on the Performance of Exhaust Mufflers with Mean Flow Based on Three-Dimensional Analysis by Barhm MOHAMAD, Jalics KAROLY, Andrei ZELENTSOV, Salah AMROUNE

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An Entropic Approach to Constrained Linear Regression by Argimiro Arratia, Henryk Gzyl

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Novel ¹⁷⁷Lu-Labeled [Thz¹⁴]Bombesin(6–14) Derivatives with Low Pancreas Accumulation for Targeting Gastrin-Releasing Peptide Receptor-Expressing Cancer by Lei Wang, Devon E. Chapple, Hsiou-Ting Kuo, Sara Kurkowska, Ryan P. Wilson, Wing Sum Lau, Pauline Ng, Carlos Uribe, François Bénard, Kuo-Shyan Lin

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Structures and Properties of MgTiH<i>_n</i> Clusters (<i>n</i> ≤ 20) by Camryn Newland, D. Balamurugan, Jonathan T. Lyon

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Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion by Raul Criado, Wantao Li, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…In this study, we address the downlink precoding problem in large-scale multi-user multiple-input multiple-output dual-function radar–communication systems equipped with low-resolution quantized digital-to-analog converters. To tackle this issue, we develop a weighted optimization framework that minimizes the mean squared error between the transmitted symbols and their estimates while satisfying specific radar performance requirements. …”
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Signal-to-event encoding parameter selection for multiple event classification with spiking neural networks by Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak, Mirosław Pawlak, Marek Miśkowicz, Ryszard Sroka

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Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

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Overview of Hybrid Satellite–Terrestrial Networks (HSTNs): Key Technologies and Upcoming Challenges by Akbar Asgharzadeh-Bonab, Hashem Kalbkhani, Yaser Azimi, Farid Ahmadi

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Control knowledge tracing: Modeling students' learning dynamics from a control-theory perspective by Cheng Ning Loong, Chih-Chen Chang

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How Much Rationality Is Needed for Decision Making? by Annette Grathoff

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Recurrent models of orientation selectivity enable robust early-vision processing in mixed-signal neuromorphic hardware by Valentina Baruzzi, Giacomo Indiveri, Silvio P. Sabatini

“…Experimental results validate the approach, demonstrating how principles of neural computation can lead to robust sensory processing electronic systems, even when they are affected by high degree of heterogeneity, e.g., due to the use of analog circuits or memristive devices.…”
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Signal Synchronization, Collection and Transmission for Multichannel Distribution Seismic Antenna by A. D. Volodin, A. L. Efimenko, A. V. Gorlin, D. A. Kuzmin

“…Creation of seismic antennas involves production of a system capable to provide synchronous analog-to- digital data signal conversion of all channels and to broadcast digitized signals to the central computing complex (CCC). …”
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Efficient off-chip configuration method for scalable programmable photonic integrated circuits by ZeYang Fan, JunMin Lin, Tian Zhang, Jian Dai, XingYuan Xu, Kun Xu

“…Abstract Programmable photonic integrated circuits can realize analog matrix multiplication to accelerate computing disruptively in various fields. …”
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AI-Driven Evolution in Integrated Circuit Design: A Qualitative Exploration of Transformative Potential and Human Collaboration by Danny Rittman, Jeffrey Butler, Abdullah Alshboul

“…Furthermore, AI's potential in quantum computing ICs is recognized, enhancing computing power and resource distribution efficiency. …”
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Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system by Hongyu ZHAO, Hongyan YAO

“…In order to improve the spectral efficiency of hybridly-connected hybrid precoding,the optimal hybrid precoding matrix under the ideal conditions was firstly obtained by using the principle of successive interference cancellation (SIC).Secondly,the optimal hybrid precoding matrix was decomposed into the digital precoding matrix and the analog precoding matrix by using the gradient descent theory.Finally,considering the constant modulus constraint condition of the analog precoding matrix,the digital and analog precoding matrices were optimized by using the alternating minimization method aim to maximize the spectral efficiency.Due to the hybridly-connected structure,the proposed hybrid precoding design algorithm is significantly superior to the partially-connected and fully-connected hybrid precoding in terms of the system energy efficiency.Meanwhile,the algorithm does not increase any hardware complexity and only increases a small amount of computation of the hybridly-connected hybrid precoding.Computer simulation results exhibit that the proposed algorithm can improve the system spectral efficiency of the hybridly-connected hybrid precoding,and the upgrade of spectral efficiency is more significant especially in the conditions that the number of radio frequency (RF) links is greater than the number of data streams.Since the sub-blocks are not necessary to satisfy orthogonality conditions,the proposed algorithm is more suitable for practical application than the existing hybridly-connected hybrid precoding.…”
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