Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

“…Accurate AHD predictions enable efficient resource allocation, improved patient care, and potential cost reduction in healthcare.Methods The study selected CS patients undergoing cervical spine surgery and investigated their medical data. …”
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The clinical utility and safety of biomarker-guided immunosuppression withdrawal in liver transplantation: the LIFT prospective RCT by Julien Vionnet, Rosa Miquel, Juan G Abraldes, Juan-Jose Lozano, Pablo Ruiz, Miquel Navasa, Aileen Marshall, Frederik Nevens, William Gelson, Joanna Leithead, Steven Masson, Elmar Jaeckel, Richard Taubert, Phaedra Tachtatzis, Dennis Eurich, Kenneth Simpson, Eliano Bonaccorsi-Riani, James Ferguson, Alberto Quaglia, Maria Elstad, Marc Delord, Abdel Douiri, Alberto Sánchez-Fueyo

“…A previous clinical trial showed that a logistic regression algorithm including the transcript levels of a set of five genes in a liver biopsy could predict the success of immunosuppression withdrawal with high sensitivity and specificity. …”
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Leveraging Dual Timestamps to Enhance Process Model Construction Using Time-Infused Inductive Miner by Yutika Amelia Effendi, Minsoo Kim

“…In business process management, the increasing complexity of modern business processes underscores the need for accurately understanding parallel activities to efficiently allocate and utilize limited corporate resources. However, many existing event log analysis algorithms focus solely on the sequence of executed activities, limiting their ability to model processes involving simultaneous activities effectively. …”
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Estimation of sugarcane biomass from Sentinel-2 leaf area index using an improved SAFY model (SAFY-Sugar) by Jingyuan Xu, Xin Du, Taifeng Dong, Qiangzi Li, Yuan Zhang, Hongyan Wang, Miao Liu, Jiong Zhu, Jian Yang

“…SAFY employed a fixed biomass allocation coefficient for stalk biomass estimation. …”
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An Expert Fitness Diagnosis System Based on Elastic Cloud Computing by Kevin C. Tseng, Chia-Chuan Wu

“…In addition, an elastic algorithm based on Poisson distribution is presented to allocate computation resources dynamically. …”
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Intelligent decision-making and regulation method of gas extraction “borehole-pipe network” system by Kai WANG, Dongxu WANG, Aitao ZHOU, Junwen ZHANG, Fangzhou SONG, Chang’ang DU, Yushuang HAO, Xihui FAN, Wei ZHAO

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Demonstration of Non-Hermitian Symmetry (NHS) IFFT/FFT Size Efficient OFDM Non-Orthogonal Multiple Access (NOMA) for Visible Light Communication by Assaidah Adnan, Yang Liu, Chi-Wai Chow, Chien-Hung Yeh

“…We propose and experimentally demonstrate a non-orthogonal multiple access (NOMA) visible light communication (VLC) system using non-Hermitian symmetry (NHS) inverse-fast-Fourier-transform (IFFT)/FFT size efficient (SE) orthogonal frequency division multiplexing (OFDM). Fix power allocation and successive interference cancellation (SIC) algorithms are realized. …”
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Enhancing network slice security with Deep Reinforcement Learning and Moving Target Defense strategies by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos Markakis, Athina Bourdena, George Mastorakis

“…Abstract Network slicing is revolutionizing how networks are built and managed by enabling the flexible and efficient allocation of resources to meet diverse application requirements. …”
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Optimizing Spatial Complexity of the Hard Decision Decoder Based on Hash and Syndrome Decoding (HSDec) by Seddiq El Kasmi Alaoui, Tarik Chanyour, Hamza Faham, Said Nouh

“…These findings confirm the robustness of the RMS-HSDec algorithm under different channel conditions. Overall, the proposed decoder proves to be an effective solution, optimizing memory usage without compromising error correction capabilities, making it ideal for high-density data applications and environments with limited memory resources.…”
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Recent Advances in Multi-Agent Reinforcement Learning for Intelligent Automation and Control of Water Environment Systems by Lei Jia, Yan Pei

“…Multi-agent reinforcement learning (MARL) has demonstrated significant application potential in addressing cooperative control, policy optimization, and task allocation problems in complex systems. This paper focuses on its applications and development in water environmental systems, providing a systematic review of the theoretical foundations of multi-agent systems and reinforcement learning and summarizing three representative categories of mainstream MARL algorithms. …”
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Token Money or Cryptocurrency: technological Content and Economic Essence by A. V.  Varnavskiy

“…The paradox of the algorithmic guarantor, reflecting the absence of the need for formalization of algorithmic informal institutions, is formulated. …”
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Multi-level data fusion enables collaborative dynamics analysis in team sports using wearable sensor networks by Zi Zhuo Wang, Xiaoyu Xia, Qiaonan Chen

“…The multi-level fusion architecture integrates IMU, GPS, physiological, and positioning data through adaptive weight allocation and asynchronous alignment algorithms. Experimental validation demonstrated 8.6 dB improvement in signal quality and 42.3% enhancement in positional accuracy compared to single-source approaches. …”
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A Literature Review Research on Monitoring Conditions of Mechanical Equipment Based on Edge Computing by Liqiang Song, Huaiguang Wang, Zhiyong Shi

“…However, this process occupies resources since data transmission requires the allocation of a large capacity. …”
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The Discriminants of Long and Short Duration Failures in Fulfillment Sortation Equipment: A Machine Learning Approach by Abed Mutemi, Fernando Bacao

“…This model has since been applied successfully to automate the detection of long- and short-term defects, which has improved equipment maintenance schedules and personnel allocation towards fulfillment operations. …”
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Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs by Syed Zain Ul Abideen, Abdul Wahid, Mian Muhammad Kamal

“…Our work aims to maximize secrecy rates for all users under possible eavesdropping scenarios by dynamically adjusting the RIS’s phase shifts and power allocations. This method not only shows how flexible and successful the DDPG algorithm is at protecting wireless communications when used in conjunction with an RIS but it also highlights how much the algorithm has advanced secure communication systems.…”
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Heterogeneous bioinformatic data encryption on portable devices by Hao Chen, Xiayun Hong, Yao Cheng, Xiaotong Wang, Liyan Chen, Xuan Cheng, Juncong Lin

“…For mobile devices, encryption is even more important yet more challenging, as these devices are usually used in environments that may not be well protected and have rather limited computing resources. With heterogeneous multi-core processors becoming popular on mobile devices to satisfy different needs of applications, designing heterogeneous algorithms to harness all the available resources are tricky but have the potential to deliver high performance. …”
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ClassRoom-Crowd: A Comprehensive Dataset for Classroom Crowd Counting and Cross-Domain Baseline Analysis by Wenqian Jiang, Xiaohua Huang, Qun Zhao, Sheng Liu

“…Additionally, in day-to-day educational management, tasks such as optimizing the allocation of teaching resources and planning educational spaces heavily depend on precise crowd counting techniques. …”
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6G virtualized beamforming: a novel framework for optimizing massive MIMO in 6G networks by Ahmed M. Alwakeel

“…Our framework employs a combination of advanced machine learning algorithms and software-defined networking to dynamically allocate beamforming resources, improving adaptability in high-density environments and optimizing signal-to-noise ratios. …”
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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…Specifically, by using machine learning algorithms for dynamic scheduling of distributed energy resources, the system can achieve an energy utilization rate 12% higher than traditional scheduling methods, and reduce energy waste by 18% in the event of fluctuations in energy demand. …”
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Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department by Mohammad A. Shbool, Omar S. Arabeyyat, Ammar Al-Bazi, Abeer Al-Hyari, Arwa Salem, Thana’ Abu-Hmaid, Malak Ali

“…However, managing the health systems efficiently and achieving the best planning and allocation of their EDs’ resources becomes crucial to improve their capabilities to accommodate the crisis’s impact. …”
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