An Energy-Efficient Scheduling Strategy Based on Load Conditions in LTE System by Kai Wen, Yali Miao

“…According to the conception of trading bandwidth for energy, with the addition of taking system throughput and fairness among users into consideration, a resource scheduling strategy based on system load conditions for LTE downlink was proposed to reduce energy consumption by improving energy efficiency at the cost of spectral efficiency. …”
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Enhancing Energy Systems and Rural Communities through a System of Systems Approach: A Comprehensive Review by Abdellatif Soussi, Enrico Zero, Alessandro Bozzi, Roberto Sacile

“…In this paper, we explore the system of systems (SoS) approach, which provides a comprehensive framework for improving energy systems’ interoperability, efficiency, and resilience. …”
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SIMULTANEOUS PANCREAS-KIDNEY TRANSPLANTATION: EARLY POSTOPERATIVE COMPLICATIONS by M.Sh. Khubutia, A.V Pinchuk, I.V. Dmitriev, K.E. Lazareva, A.G. Balkarov, R.V. Storozhev, N.V. Shmarina

“…The incidence of early postoperative complications after simultaneous pancreas-kidney transplantation remains signifi cant in spite of progressive improvement of simultaneous pancreas-kidney transplantation due to surgical technique improvement, introduction of new antibacterial and immunosuppressive agents. …”
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Digitalization of an Industrial Process for Bearing Production by Jose-Manuel Rodriguez-Fortun, Jorge Alvarez, Luis Monzon, Ricardo Salillas, Sergio Noriega, David Escuin, David Abadia, Aitor Barrutia, Victor Gaspar, Jose Antonio Romeo, Fernando Cebrian, Rafael del-Hoyo-Alonso

“…The developments in sensing, actuation, and algorithms, both in terms of Artificial Intelligence (AI) and data treatment, have open up a wide range of possibilities for improving the quality of the production systems in diverse industrial fields. …”
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FD-GRNet: A Dendritic-Driven GRU Framework for Advanced Stock Market Prediction by Tongyan Liu, Jiayi Li, Zihang Zhang, Hang Yu, Shangce Gao

“…Comprehensive experiments on major global stock market indices demonstrate that FD-GRNet consistently outperforms several comparative algorithms across multiple evaluation metrics. Ablation studies further highlight the essential roles of FDNM and DGRNet in improving the model’s accuracy and robustness. …”
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Clock factorized quantum Monte Carlo method for long-range interacting systems by Zhijie Fan, Chao Zhang, Youjin Deng

“…E 99 010105 (2019)] to the path-integral representation of long-range interacting quantum systems, with some specific treatments for quantum cases and a few significant technical improvements in general. We first explain how the clock factorized quantum Monte Carlo method is implemented to reduce the computational overhead from $\mathcal{O}(N)$ to $\mathcal{O}(1)$. …”
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Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…The Mixed-Integer Programming (MIP) approach is used to build the mathematical model, solved with both exact algorithms and Genetic Algorithms (GA), and implemented in Python 3.12.7. …”
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Advancements and Optimisation Strategies in Building Integrated Photovoltaic Thermal (BIPVT) Systems by Mon Prakash Upadhyay, Arjun Deo, Ajitanshu Vedratnam

“…The paper covers the current algorithms for various optimisation algorithms such as Genetic Algorithms and Particle Swarm Optimisation that provide enhanced utilization improvements. …”
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Inverse methods and integral-differential model demonstration for optimal mechanical operation of power plants – numerical graphical optimization for second generation of tribology... by Casesnoves Francisco

“…It shows evident-mathematical and 3D-imaging proofs of the graphical optimization method with L1 Norm simulations and algorithms. At present, Linear/Nonlinear Optimization mathematical methods constitute the choice of preference in getting improvements for erosion and corrosion simulations- determinations in general tribology, biotribology and tribocorrosion. …”
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Impact of fine-tuning parameters of convolutional neural network for skin cancer detection by Zaib Unnisa, Asadullah Tariq, Nadeem Sarwar, Irfanud Din, Mohamed Adel Serhani, Zouheir Trabelsi

“…The literature has employed numerous Machine Learning (ML) and Deep Learning (DL) algorithms to detect skin cancer. ML algorithms perform well for small datasets but cannot comprehend larger ones. …”
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Hybrid Experiential-Heuristic Cognitive Radio Engine Architecture and Implementation by Ashwin Amanna, Daniel Ali, David Gonzalez Fitch, Jeffrey H. Reed

“…Architectures tend towards simplified decision-making algorithms inspired by human cognition. Initial works defined cognitive engines (CEs) founded on heuristics, such as genetic algorithms (GAs), and case-based reasoning (CBR) experiential learning algorithms. …”
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ARCHITECTURE AND FUNCTIONALITY OF INTEGRATED INFORMATION SYSTEM FOR ANALYSIS OF POTENTIAL OF RENEWABLE ENERGY SOURCES by B. A. Tonkonogov, S. P. Kundas, A. E. Moroz

“…The required functionality of system has led to the solution of a number of problems in the development of appropriate software modules that implement methods, models and algorithms for assessing the energy potential and economic efficiency of the use of renewable energy sources (RES). …”
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Carbon Sequestration Strategies in Regenerative Agricultural Systems by Leveraging Wireless Sensor Networks for Precision Carbon Management by Al-Jawahry Hassan M., AI_Sadi Hafidh l., Rajasekhar Boddu

“…Furthermore, the project not only provides substantial knowledge on the dynamics of carbon but, more importantly, provides actionable insights that can immediately be used in improving farming practices and support global climate change mitigation.…”
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Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children. by Megan Palmer, James A Seddon, Marieke M van der Zalm, Anneke C Hesseling, Pierre Goussard, H Simon Schaaf, Julie Morrison, Bram van Ginneken, Jaime Melendez, Elisabetta Walters, Keelin Murphy

“…Diagnostic tools for paediatric tuberculosis remain limited, with heavy reliance on clinical algorithms which include chest x-ray. Computer aided detection (CAD) for tuberculosis on chest x-ray has shown promise in adults. …”
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PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

“…The ConvNeXtBlock with inverted bottleneck is introduced in the P4 layer, greatly improving small-target feature capture and semantic understanding. …”
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Assessing the deep learning based image quality enhancements for the BGO based GE omni legend PET/CT by Meysam Dadgar, Amaryllis Verstraete, Jens Maebe, Yves D’Asseler, Stefaan Vandenberghe

“…Conclusion This study conducted a thorough evaluation of deep learning algorithms in the GE Omni Legend PET/CT scanner, demonstrating that these methods enhance image quality, with notable improvements in CRC and CNR, thereby optimizing lesion detectability and offering opportunities to reduce image acquisition time.…”
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Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand by Jun Li, Fengbin Li, Xiaofeng Jiang

“…Our simulation implements the proposed FSJS scheme to the uniform segmentation and exponential segmentation algorithms to show how FSJS improves a user's perceived latency and reduces the extra average serving time. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Therefore, exploring travel patterns is of practical significance for urban planning, traffic management, and improvement of the operational efficiency of the transportation system. …”
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Skin region images extracted from 3D total body photographs for lesion detection by Anup Saha, Joseph Adeola, Nuria Ferrera, Adam Mothershaw, Gisele Rezze, Séraphin Gaborit, Brian D’Alessandro, Robert Voskanyan, Gyula Szabó, Balázs Pataki, Hayat Rajani, Sana Nazari, Hassan Hayat, Laura Serra-García, Clare Primiero, Serena Bonin, Iris Zalaudek, H. Peter Soyer, Josep Malvehy, Rafael Garcia

“…While these lesion-centric datasets have been fundamental for developing diagnostic algorithms, they lack the context of the surrounding skin, which is critical for improving lesion detection. …”
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CLASSIFICATION OF AUDIO SOURCE CHANNELS USING TIME-FREQUENCY ANALYSIS AND DECISION TREE CLASSIFIER by Sagir Lawan, Ashraf A. Ahmad, Amina Jibril, Idrisu Mohammed, Kulu Ahmad Amalo

“…This study highlights the effectiveness of the advanced time-frequency analysis techniques CKD and MDD in improving audio source separation and their potential for real-time audio processing applications. …”
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