Challenges and Prospects of Deploying AI and Machine Learning for Clinical Diagnosis in African Healthcare by Edmund Terem Ugar

“…This stems from the inherent nature of the data used to develop these technologies, primarily sourced from healthcare experiences in designing nations, coupled with the pervasive algorithmic biases prevalent in contemporary ML systems. …”
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Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems by Lei Li, Hao Jin, Zhipeng Yan, Changqing Yang, Yong Wu

“…Redesigning user association strategies to improve energy efficiency (EE) has been viewed as one of the promising shifting paradigms for the fifth generation (5G) cellular networks. …”
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Multi-Energy Optimal Dispatching of Port Microgrids Taking into Account the Uncertainty of Photovoltaic Power by Xiaoyong Wang, Xing Wei, Hanqing Zhang, Bailiang Liu, Yanmin Wang

“…Firstly, based on the improved Iterative Self-organizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm and backward reduction method, a set of typical scenarios that represent the uncertainties of PV and load is generated. …”
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The Applications of Artificial Intelligence and Digital Twin in Power Systems: An In-Depth Review by Ghazal Rahmani-Sane, Sasan Azad, Mohammad Taghi Ameli, Sasan Haghani

“…Overall, this work aims to contribute to the foundational knowledge necessary for harnessing the full spectrum of AI’s capabilities and in advancing the shift toward a sustainable energy future.…”
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A New Hard Problem for Post-Quantum Cryptography: Q-Problem Primitives by Mostefa Kara, Mohammad Hammoudeh, Sultan Alamri

“…It aims to redefine cryptographic hardness by moving away from problems with unique solutions toward problems that admit multiple indistinguishable preimages. This shift is motivated by the structural vulnerabilities that quantum algorithms may exploit in traditional formulations. …”
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Regenerative Braking Systems in Electric Vehicles: A Comprehensive Review of Design, Control Strategies, and Efficiency Challenges by Emilia M. Szumska

“…Based on a systematic analysis of 89 peer-reviewed articles from Scopus, it highlights a shift from basic PID controllers to advanced predictive algorithms like Model Predictive Control (MPC) and machine learning approaches. …”
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THE ROLE OF BIG DATA IN DIGITALIZING INFORMATION by Elena COFAS

“…At its core, "Big Data" involves the amalgamation of extensive and diverse information, subjected to algorithmic analysis to drive decision-making. The data's significance extends beyond economic implications, permeating diverse domains such as safety, health, agriculture, environment, law, and even individual contexts, thereby accentuating the intrinsic essence of "Big Data”. …”
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Beyond the cybernetic loop: smart” pain technology in a recursive society by Benjamin Lipp, Stephen Hilgartner

“…New wearable and implantable devices aim to partly remove human decision-making from pain management, delegating it to more or less closed feedback loops that capture signals directly from the body, process them algorithmically, and administer electrical stimulation to modulate nerve response. …”
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Rethinking social action through the info-ecological dimensions of two collaborative public health platforms: the people’s health movement and the citizen sense project platforms a... by Silvia Surrenti, Massimo Di Felice

“…The infoecological approach suggests a new living condition that promotes the emerging computational ecologies composed of a web of people, data, algorithms, biodiversity, information, cities, viruses, and so forth, supporting a more-than-human common experience.Results and discussionThe purpose is to examine how the heterogeneity of platform ecosystems (human and non-human) have been generating a cultural shift. …”
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The technical milieu and its evolution: Uexküll, Kapp, Cassirer, Simondon by Christopher Loughnane

“…This shift carries various ethical implications, particularly as digital infrastructures mould, influence and even govern human perception, agency, and autonomy. …”
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The intersection of AI and learning analytics: Enhancing institutional performance by Thabisa Maqoqa

“…Integrating Artificial Intelligence (AI) and Learning Analytics (LA) in educational settings signifies a significant shift in leveraging data to enhance institutional effectiveness. …”
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Flow Improvement in Evacuation Planning with Budget Constrained Switching Costs by Ram Chandra Dhungana, Tanka Nath Dhamala

“…In this paper, we consider an evacuation planning problem that aims to shift a maximum number of evacuees from a danger area to a safe zone in limited time under the budget constraints for network modification. …”
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FROM SURVEYING TO GEOMATICS by BESIM AJVAZI, FISNIK LOSHI, BÉLA MÁRKUS

“…However, until now BIM is used in building construction industry, it can can be a paradigm shift in geospatial information management in general.…”
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Simultaneous RIS Adjustment and Transmission Based on Markov Chain Monte Carlo and Simulated Annealing by Ilya Burtakov, Arseny Poyda, Aleksey Kureev, Evgeny Khorov

“…Existing statistical RIS adjustment algorithms typically rely on extensive channel measurements obtained through uniform random sampling of RIS configurations. …”
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Towards Optimizing the Downlink Transmit Power in UAV-Integrated IRS Wireless Systems by Ali Reda, Tamer Mekkawy, Ashraf Mahran

“…We formulate the IRS beamforming matrix to reduce transmit power by optimizing passive beamforming for IRS elements, incorporating adjustments to phase shifts and amplitude coefficients while considering the positioning of the UAV. …”
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AI based data-driven point cloud optimization strategy in cloud computing framework for improving rendering performance of virtual city scenes by Cao Zhongda

“…Comparison of the proposed method and model of the study revealed that the F1 value and accuracy of the proposed algorithm was 0.87 and 93.9% respectively, which is better than the comparison algorithm. …”
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Design as Exploration by Ding Yang

“…Nevertheless, current paradigms for ill‑defined conceptual architectural design still lack ways to ensure the achievement of a reliable optimization problem, which hinders reliable design solutions despite the use of advanced optimization algorithms. To address this problem, it is necessary to shift the focus from Optimization Problem Solving to Optimization Problem Formulation. …”
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Progress and Challenges in Research on Key Technologies for Laser Weed Control Robot-to-Target System by Rui Lu, Daode Zhang, Siqi Wang, Xinyu Hu

“…This review systematically compares the mainstream recognition algorithms for the needs of laser weeding for specific parts, reveals the performance bottleneck of the existing algorithms in the laser weeding environment, and points out new research directions, such as developing weed apical growth zone recognition algorithms. …”
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Сombat wounds microflora in modern warfare by V. P. Kovalchuk, N. S. Fomina, V. M. Kondratiuk, О. О. Fomin, Y. V. Lazarenko, K. V. Gumenyuk

“…The results indicate a shift in the etiological structure of purulent-inflammatory complications of combat wounds, with a predominance of Gram-negative microorganisms, primarily non-fermenting bacteria and members of the Enterobacteriaceae family. …”
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Study on Impact Excitation and System Dynamic Characteristics of Shield Machine Planetary Gear Train by Zeyin HE, Hongjian WU, Zhen YANG, Feng YI, ShiFeng PEI

“…Planetary gear system impact incentives exhibited periodic changes, inducing a cyclic shift in the pulley to the galaxy.Conclusions The meshing force between the external meshing gear pairs changes, and the engagement impact excitation reduces the dynamic meshing force between the gear pairs. …”
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