Measuring the Effectiveness of Carbon-Aware AI Training Strategies in Cloud Instances: A Confirmation Study by Roberto Vergallo, Luca Mainetti

“…Such strategies—natively Cloud-based—use the time resource to postpone or pause the training algorithm when the carbon intensity reaches a threshold. …”
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A reduced-complexity compressed sensing channel estimation for underwater acoustic channel by Xuan YU, Xuan GENG

“…Aiming at the sparse characteristics of underwater acoustic channels for shallow seas, a reduced-complexity look-ahead backtracking orthogonal matching pursuit (RC-LABOMP) channel estimation algorithm was proposed.Firstly, two types of support sets of orthogonal matching pursuit and subspace pursuit channel estimation algorithms were calculated, and then prior information based on the intersection and union of the two support sets were preprocessed.At last, the preprocessed prior information was used to complete look-ahead backtracking orthogonal matching pursuit channel estimation.The preprocessed prior information leads to the decrease of the iteration number of original LABOMP, and reduction of the atom index range, thus the proposed algorithm can reduce the computational complexity of original LABOMP significantly.In addition, combining the proposed algorithm with the underwater acoustic Turbo equalization system is more suitable for underwater acoustic communication systems.Simulation results show that the proposed algorithm demonstrates high estimation accuracy and low bit error rate performance under both conditions of random channels and underwater acoustic channels.It also reduces the computational complexity of the LABOMP algorithm.Therefore, it is an effective method for shallow seas underwater acoustic channels estimation algorithm.…”
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Method of automatic coregistration of digital remote sensing images from different sources by A.N. Borisov, V.V. Myasnikov, V.V. Sergeev

“…To achieve a universal and robust solution in the latter stages, the best-known algorithms were compared: SIFT, SAR-SIFT, RIFT, and the trainable RoMa. …”
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Monocular vision guided deep reinforcement learning UAV systems with representation learning perception by Zhihan Xue, Tad Gonsalves

“…In recent years, numerous studies have applied deep reinforcement learning (DRL) algorithms to vision-guided unmanned aerial systems. …”
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An FPGA-Based Quantum Computing Emulation Framework Based on Serial-Parallel Architecture by Y. H. Lee, M. Khalil-Hani, M. N. Marsono

“…Quantum Fourier transform and Grover’s search are chosen as case studies in this work since they are the core of many useful quantum algorithms. Experimental work shows that, with the proposed emulation architecture, a linear reduction in resource utilization is attained against the pipeline implementations proposed in prior works. …”
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Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications by Mhammed Benhayoun, Mouhcine Razi, Anas Mansouri, Ali Ahaitouf

“…First, a decoding algorithm optimization and a compact data structure are proposed. …”
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STUDY ON THE USE OF COMPUTER BASED INFORMATION SYSTEMS IN PRODUCTION MANAGEMENT by Mirela PLESA (CHIRIACESCU)

“…These changes ultimately lead to a reduction in the amount of food available to humans and animals, to starvation, a phenomenon that still affects millions of people today.…”
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Numerical Reduced Variable Optimization Methods via Implicit Functional Dependence with Applications by Christopher Gunaseelan Jesudason

“…This work is more general than the reduction schemes for conditional linear parameters since it covers the nonconditional case as well and has potentially wide applicability.…”
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Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration by Ali Shehadeh, Odey Alshboul

“…The results indicate a reduction in design clashes by 16% and iterative revisions by 15%, culminating in a 12% decrease in overall project timelines. …”
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Improved Feature-Selection Method Considering the Imbalance Problem in Text Categorization by Jieming Yang, Zhaoyang Qu, Zhiying Liu

“…The filtering feature-selection algorithm is a kind of important approach to dimensionality reduction in the field of the text categorization. …”
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Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis by Jaesung Shim, Kyuri Jo

“…This method addresses the reduction in classification accuracy caused by the denoising process. …”
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Improving Non-Cartesian MRI Reconstruction through Discontinuity Subtraction by Jiayu Song, Qing Huo Liu

“…Multidimensional nonuniform fast Fourier transform (NUFFT) algorithms are utilized to simulate the k-space samples as well as to reconstruct images. …”
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Assessment of medical risks in airline passengers with recent acute and chronic coronary syndromes by I. N. Posokhov, E. A. Praskurnichiy

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MANAGEMENT OF PATIENTS WITH PARKINSON’S DISEASE AND AN OVERACTIVE BLADDER by E. S. Korshunova, M. N. Korshunov, S. P. Darenkov

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Young and Inverse Young Inequalities on Euclidean Jordan Algebra by Chien-Hao Huang

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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints by Danyang Li, Hongpeng Liu, Jingwei Zhang, Xu Han, Shuxin Zhang

“…A flexibility-constrained multi-stage generation planning model is formulated, which resolves nonlinearity through auxiliary variable linearization and Benders decomposition algorithm. Case studies demonstrate that the proposed model achieves a 47.3% reduction in total 10-year planning costs for a typical regional system, comprising 39.5% operational cost savings and 46.3% carbon emission cost reduction, while elevating renewable energy accommodation rate to 80%. …”
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Knowledge of alarm signs of stroke among caretakers of stroke patients and first contact healthcare providers at two tertiary referral hospitals in Uganda by Salvatore Ssemmanda, Abdu Kisekka Musubire

“…Although acute stroke recognition algorithms like BE-FAST are widely accepted, applied and generally easy to administer, their utility in Uganda is unknown. …”
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AI in Agriculture: Advanced Smart Irrigation for Enhanced Crop Yields by Rahman F.

“…The proposed smart irrigation system will leverage machine learning algorithms, predictive analytics, as well as other AI technologies and real time data in the soil moisture, weather conditions, crop health and water usage. …”
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Path Loss Characterization Using Machine Learning Models for GS-to-UAV-Enabled Communication in Smart Farming Scenarios by Sarun Duangsuwan, Phakamon Juengkittikul, Myo Myint Maw

“…The proposed empirical GS-to-UAV two-ray (GUT-R) model and the ML models were compared to characterize path loss prediction models. The performances of the path loss prediction models were evaluated using the statistical error indicators in different measurement locations and UAV trajectories. …”
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High accuracy inverse design of reconfigurable metasurfaces with transmission-reflection-integrated achromatic functionalities by Jiang Xiao-Qiang, Fan Wen-Hui, Chen Xu, Zhao Lv-Rong, Qin Chong, Yan Hui, Wu Qi, Ju Pei

“…Artificial intelligence algorithms based on deep neural network (DNN) have become an effective tool for conceiving metasurfaces recently. …”
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