Efficient Joint Transmit and Receive Beam Alignment via Sequential CNN LSTM Networks by Takumi Yoshida, Koji Ishibashi, Hiroki Iimori, Paulo Valente Klaine, Szabolcs Malomsoky

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Applying the machine learning methods to determine the linear optics parameters in the ThomX collector ring by D. Klekots, O. Bezshyyko, L. Golinka-Bezshyyko, V. Kubytskyi, I. Chaikovska

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Optimizing circular antenna arrays with artificial rabbits optimization for beam control and side lobe reduction by Sunil Kumar, Harbinder Singh, Avtar Singh

“…Furthermore, several conventional techniques can be used to synthesize the array for real-time implementation, but they encounter difficulties in retaining the low SLL along with the narrow beam width. An optimization problem is formulated in this research work to achieve the necessary orientation of the main lobe, suppress the SLL, and achieve the requisite beam width. …”
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Determination of the beam characteristics at the entrance of the ion-optical tract of the cyclotron U-240 isotope separator by O. E. Valkov, O. K. Zaichenko, A. I. Ustinov

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Beam-steering of a single-element nano-antenna with two transferring dielectric flat lenses by Fatma E. Helmy, Ibrahim I. Ibrahim, Amany M. Saleh

“…Abstract A novel idea for mechanical beam-steering based on a single hybrid plasmonic nano-antenna (NA) with transferring lenses is presented in this research. …”
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Machine learning techniques for predicting the peak response of reinforced concrete beam subjected to impact loading by Ali Husnain, Munir Iqbal, Hafiz Ahmed Waqas, Mohammed El-Meligy, Muhammad Faisal Javed, Rizwan Ullah

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Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction by Ander Biguri, Subhadip Mukherjee, Xuzhi Zhao, Xi Liu, Xinyi Wang, Rui Yang, Yi Du, Yahui Peng, Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter, Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix, Austin Yunker, Rajkumar Kettimuthu, John C. Roeske, Sasidhar Alavala, Subrahmanyam Gorthi, Carola-Bibiane Schonlieb

“…The classical variational approach for CT reconstruction minimizes an energy functional using an appropriate iterative algorithm. Motivated by the success of deep learning (DL), researchers have begun to leverage training data and enhanced computing capabilities in recent years to produce high-fidelity reconstructed images. …”
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Prediction of Flexural Ultimate Capacity for Reinforced UHPC Beams Using Ensemble Learning and SHAP Method by Zhe Zhang, Xuemei Zhou, Ping Zhu, Zhaochao Li, Yichuan Wang

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Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography by Yujie Ma, Maged Ali Al-Aroomi, Yutian Zheng, Wenjie Ren, Peixuan Liu, Qing Wu, Ye Liang, Canhua Jiang

“…This study evaluates the efficacy of deep learning algorithms for detecting and diagnosing dental caries using cone-beam computed tomography (CBCT) with the Mask R-CNN architecture while comparing various hyperparameters to enhance detection. …”
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Self-Driving Car Navigation With Single-Beam LiDAR and Neural Networks Using JavaScript by Trung Thi Hoa Trang Nguyen, Thanh Toan Dao, Thanh Binh Ngo, Vu Anh Phi

“…The single-beam LiDAR sensor in the simulation was configured to closely resemble real-world counterparts, such as the YDLIDAR TG30. …”
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Distortion and Compensation of Doppler Shift Characteristics of Vortex Beam Superposition Due to Rotating Rough Surfaces and Occlusion by Hongyang Wang, Zijing Zhang, Chengshuai Cui, Yuan Zhao

“…The average enhancement factor of <italic>SMSR</italic> for higher-order beam is 13.53-folds higher than that of lower orders. …”
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Enhanced Position-Aided Beam Prediction Using Real-World Data and Enhanced-Convolutional Neural Networks by Ahmed Abd El Moaty Mohamed Gouda, Ehab K. I. Hamad, Aziza I. Hussein, M. Mourad Mabrook, A. A. Donkol

“…Previous research has utilized synthetic data for position-aided beam prediction, which does not fully capture real-world complexities. …”
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Intelligent Beam-Hopping-Based Grant-Free Random Access in Secure IoT-Oriented Satellite Networks by Zhongliang Deng, Yicheng Liao

“…This research presents an intelligent beam-hopping-based grant-free random access (GFRA) architecture designed for secure Internet of Things (IoT) communications in Low Earth Orbit (LEO) satellite networks. …”
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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Subsequently, six machine learning algorithms were developed to predict the Mu. In addition, a new prediction model was constructed by considering the failure modes of the strengthened beams. …”
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Data Reduction Method for Synthetic Transmit Aperture Algorithm by Piotr KARWAT, Ziemowit KLIMONDA, Michał SĘKLEWSKI, Marcin LEWANDOWSKI, Andrzej NOWICKI

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Process parameter optimization of laser beam machining for AISI -P20 mold steel using ANFIS method by Abdullah Eaysin, Sarower Kabir, Ebru Gunister, Nur Jahan, Amir Hamza, Muhammad Ali Zinnah, Adib Bin Rashid

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KDFE: Robust KNN-Driven Fusion Estimator for LEO-SoOP Under Multi-Beam Phased-Array Dynamics by Jiaqi Yin, Ruidan Luo, Xiao Chen, Linhui Zhao, Hong Yuan, Guang Yang

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Beyond the IFTA – Phase mask generation for 3D laser beam shaping, tailored temperature distributions and optical amplifiers by Hofmann Oskar, Buske Paul, Kurth Robin, Bonhoff Annika, Holly Carlo

“…We here present an overview of our research into application adapted laser beam shaping beyond the capabilities of traditional phase retrieval algorithms for beam shaping. …”
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Adaptive Beam Tracking in 5G/6G mmWave Networks: A Clustered Federated Learning Approach by Amjad Ali, Yevgeni Koucheryavy

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A Generalized Shape Function for Vibration Suppression Analysis of Acoustic Black Hole Beams Based on Fractional Calculus Theory by Jun Xu, Ning Chen

“…In this paper, a generalized acoustic black hole (ABH) beam covered with a viscoelastic layer is proposed to improve the energy dissipation based on the double-parameter Mittag–Leffler (ML) function. …”
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