An Overview of the Indian Monsoon Using Micropaleontological, Geochemical, and Artificial Neural Network (ANN) Proxies During the Late Quaternary by Harunur Rashid, Xiaohui He, Yang Wang, C. K. Shum, Min Zeng

“…The WCTs at Site 758 indicate a shift in the mixed-layer summer temperature during the past 890 ka at the ODP Site, in which the post-Mid-Brunhes period (at 425 ka) was overall warmer than during the prior time. …”
Get full text

Modulation Format Identification Using Graph-Based 2D Stokes Plane Analysis for Elastic Optical Network by Lishan Yang, Hengying Xu, Chenglin Bai, Xinkuo Yu, Kangyoung You, Weibin Sun, Jiuhong Guo, Xiaoguang Zhang, Cailong Liu

“…Then, the effectiveness of the proposed MFI scheme is verified through 28 GBaud polarization division multiplexing (PDM)-binary phase shift keying (BPSK), PDM-quadrature phase shift keying (QPSK), PDM-8 quadrature amplitude modulation (QAM), PDM-16QAM, PDM-32QAM, and PDM-64QAM simulation systems. …”
Get full text

Optimizing Small Cell Performance: A New MIMO Paradigm With Distributed ASTAR-RISs by Shakil Ahmed, Ahmed E. Kamal, Mohamed Y. Selim, Md Akbar Hossain, Saifur Rahman Sabuj

“…We formulate a max-min optimization problem that optimizes the SNR and power consumption, subject to the ON/OFF status, phase shift, and power budget of the ASTAR-RIS. Our proposed method uses an alternating optimization algorithm to optimize the phase shift matrix at the ASTAR-RIS and the hybrid beamforming at the mBS. …”
Get full text

Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

“…The system’s two-stage registration framework, combining SIFT-ICP algorithms, achieves accurate alignment between preoperative models and arthroscopic views. …”
Get full text

Advanced Control Technique for Optimal Power Management of a Prosumer-Centric Residential Microgrid by Peter Anuoluwapo Gbadega, Yanxia Sun, Olufunke Abolaji Balogun

“…To solve the multi-objective power management optimization problem, the Teaching-Learning-Based Optimization (TLBO) algorithm was implemented. This algorithm optimizes day-ahead power scheduling by considering temperature forecasts, energy prices, solar irradiance, system constraints, and user preferences. …”
Get full text

How Much Power Is Needed for RIS to Beat Relays? A Sustainability Framework by Mohammad Abualhayja'a, Mahmoud Wagih, Anthony Centeno, Muhammad Ali Imran, Lina Mohjazi

“…This algorithm chooses the optimum number of RIS elements and adjusts the phase shifts matrix to reduce power dissipation while maintaining the channel gain required to achieve service requirements. …”
Get full text

DRL-Leveraged and RIS-Assisted Hybrid Network Slicing for eMBB and URLLC Co-Existence in 6G Systems by Bhagawat Adhikari, Ahmed Shaharyar Khwaja, Muhammad Jaseemuddin, Alagan Anpalagan

“…The eMBB allocation problem is solved using Alternating Optimization (AO) by optimizing the RIS phase shift and eMBB power. The URLLC allocation is achieved using a Deep Reinforcement Learning (DRL)-based Proximal Policy Optimization (PPO) algorithm. …”
Get full text

Next-Generation Block Ciphers: Achieving Superior Memory Efficiency and Cryptographic Robustness for IoT Devices by Saadia Aziz, Ijaz Ali Shoukat, Mohsin Iftikhar, Mohsin Murtaza, Abdulmajeed M. Alenezi, Cheng-Chi Lee, Imran Taj

“…Consequently, the evolution of lightweight cryptographic algorithms incorporating randomised substitution properties is imperative to meet the stringent security demands of handheld devices effectively. …”
Get full text

An Urban Rail Traction Power Supply Rectifier and Its Circulating Current Suppression Scheme by WANG Lunyue, WANG Xiong, CHEN Jielian, WU Xuefeng, WENG Xingfang

“…Then, a new topology is proposed, which requires no additional hardware investment, and the circulating current is suppressed within the safe range by means of a specific angle carrier phase shift modulation algorithm between multiple PWM rectifiers. …”
Get full text

Alternative Design of Dammann Grating for Beam Splitting With Adjustable Zero-Order Light Intensity by Hui Pang, Axiu Cao, Wenjing Liu, Lifang Shi, Qiling Deng

“…In this paper, we present an alternative design for Dammann-type beamsplitter with a non π-phase shift value. In the design, the simulated annealing algorithm is taken to optimize the grating structure and phase difference simultaneously. …”
Get full text

Affine Cipher Encryption Technique Using Residue Number System by Mykhailo Kasianchuk, Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson, Inna Shylinska, Mykhailo Holembiovskyi

“…The number of bits and the number of moduli of the residue number system, which ensure the same cryptographic strength as the longest key of the AES algorithm, are determined.…”
Get full text

Integration of theoretical and methodological developments in the field of sustainable development into regional management by Tatiana V. Alferova

“…The study aims to develop recommendations for the integration of scientific knowledge into the practice of managing sustainable development of the regions in the Russian Federation so as to shift to the strategies focused on assessment and learning. …”
Get full text

DRL-based Joint Beamforming and Power Allocation in Beyond Diagonal Reconfigurable Intelligence Surface 6G Systems by Mousa Abdollahvand, Sima Sobhi-givi

“…Additionally, we analyze the convergence speed and performance trade-offs of different DRL algorithms, emphasizing the importance of selecting the appropriate algorithm and hyper-parameters for specific applications. …”
Get full text

Enhanced frame expansion via configuring filterbank topology for rapid processing of multi-sensor vibration data with applications to turbo-machinery fault diag... by Wangpeng He, Yunyi Yan, Lu An, Wei Sun, Baolong Guo

“…However, wavelet transform still suffers from deficiencies such as lacking of frequency adjustability and shift variance property. In this article, an enhanced frame expansion is constructed via filterbank topology approach, which addresses these problems but at the same time can be implemented via fast numerical algorithm. …”
Get full text

Synergistic Effects of Energy Storage Systems and Demand-Side Management in Optimizing Zero-Carbon Smart Grid Systems by Zeyad A. Almutairi, Ali M. Eltamaly

“…The urgent need to mitigate climate change and reduce reliance on fossil fuels has driven the global shift towards renewable energy sources (RESs). However, the intermittent nature of RESs poses significant challenges to the widespread adoption of Zero-Carbon Smart Grids (ZCSGs). …”
Get full text

HERMEES: A Holistic Evaluation and Ranking Model for Energy-Efficient Systems Applied to Selecting Optimal Lightweight Cryptographic and Topology Construction Protocols in Wireless... by Petar Prvulovic, Nemanja Radosavljevic, Djordje Babic, Dejan Drajic

“…To further refine the selection, mean shift clustering is utilized to group and identify the highest scored candidates. …”
Get full text

An approach for coherent periodogram averaging of tilt‐series data for improved contrast transfer function estimation by Sagar Khavnekar, William Wan

“…In brief, each tilt image is divided into patches, each of which are then stretched according to their defocus shift. These are then summed to provide a coherent power spectrum at the tilt axis, which can then be used in standard CTF estimation algorithms. …”
Get full text

A technically sustainable E‐bus based transit system for Indian cities by Suman Majumder, Krishnarti De, Praveen Kumar

“…Abstract The exponential increase in the number of internal combustion engine vehicles due to rapid urbanization results in traffic congestions and air pollution. A paradigm shift towards public transportation system using an electric vehicle can be a possible solution for this issue. …”
Get full text

User preferences in multi-objective routes: The role of gradient visualization and personality measures. by Keisuke Otaki, Takayoshi Yoshimura

“…These pairs were generated using a multi-objective planning algorithm that optimizes both attributes. Our findings reveal three key insights. …”
Get full text

Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems by Andrea Pozzi, Alessandro Incremona, Daniele Toti

“…Specifically, the proposed method leverages the Dataset Aggregation algorithm to overcome the issue of distributional shift, a common limitation in imitation learning frameworks. …”
Get full text