Adaptive User Pairing With Non-Orthogonal Medium Access Choices for Balanced Coexistence of Mission-Critical and eMBB Services in Cellular IoT by Farnaz Khodakhah, Aamir Mahmood, Patrik Osterberg, Mikael Gidlund

“…By using this derived threshold, we design an adaptive pairing algorithm that achieves near-optimal QoS for MC users and maximizes eMBB data rates. …”
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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…This study introduces a novel approach to detecting, identifying, and profiling SC vulnerabilities, comprising two key components: an updated analyzer named SCsVulLyzer (V2.0) and an advanced Genetic Algorithm (GA) profiling method. The analyzer extracts 240 features across different categories, while the enhanced GA, explicitly designed for profiling SC vulnerabilities, employs techniques such as penalty fitness function, retention of elites, and adaptive mutation rate to create a detailed profile for each vulnerability. …”
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Metal artifact reduction combined with deep learning image reconstruction algorithm for CT image quality optimization: a phantom study by Huachun Zou, Zonghuo Wang, Mengya Guo, Kun Peng, Jian Zhou, Lili Zhou, Bing Fan

“…Background Aiming to evaluate the effects of the smart metal artifact reduction (MAR) algorithm and combinations of various scanning parameters, including radiation dose levels, tube voltage, and reconstruction algorithms, on metal artifact reduction and overall image quality, to identify the optimal protocol for clinical application. …”
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WISP: Workframe for Interferogram Signal Phase-Unwrapping by Timofey F. Khirianov, Aleksandra I. Khirianova, Egor V. Parkevich, Ilya Makarov

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Performance evaluation of enhanced deep learning classifiers for person identification and gender classification by Vasu Krishna Suravarapu, Hemprasad Yashwant Patil

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Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms by Gyan Singh, Saptadeep Biswas, Absalom El-Shamir Ezugwu, Vladimir Simic, Uttam Kumar Bera, Kashif Saleem, Laith Abualigah

“…The findings highlight the algorithm’s adaptability and reliability in addressing complex optimization challenges. …”
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Parallel Sort Implementation and Evaluation in a Dataflow-Based Polymorphic Computing Architecture by David Hentrich, Erdal Oruklu, Jafar Saniie

“…They are used as test kernels to evaluate the polymorphic computing architecture. Incidentally, these two odd–even sort algorithm variants can be readily adapted to ASIC (Application-Specific Integrated Circuit) and FPGA (Field Programmable Gate Array) designs. …”
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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

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Impact de l’évaluation de la sédation sur la durée de ventilation mécanique en réanimation pédiatrique [Impact of sedation assessment on duration of mechanical ventilation in pedia... by Zakaria Zoheir Addou, Nabil Tabet Aoul, Abdessamad DALI ALI Dali-Ali

“…English Abstract: Introduction-Sedation and analgesia should optimize the comfort and safety of children hospitalized In the intensive care unit (ICU).The objective of this study is to evaluate the effects of the implementation of an adaptive sedation algorithm on the duration of mechanical ventilation. …”
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Impact de l’évaluation de la sédation sur la durée de ventilation mécanique en réanimation pédiatrique [Impact of sedation assessment on duration of mechanical ventilation in pedia... by Zakaria Zoheir Addou, Nabil Tabet Aoul, Abdessamad DALI ALI Dali-Ali

“…English Abstract: Introduction-Sedation and analgesia should optimize the comfort and safety of children hospitalized In the intensive care unit (ICU).The objective of this study is to evaluate the effects of the implementation of an adaptive sedation algorithm on the duration of mechanical ventilation. …”
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KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification by Nan Zhang, Nan Zhang, Shishun Zhao, Runze Wu, Xizi Luo, Ming Yang, Zecheng Chang, Jianting Xu

“…These variations may reflect the adaptive changes of cellsubpopulations in response to different disease states. …”
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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

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The Unfolding Analysis for Symbolic Objects Based on the Example of the External Car Advertisement Evaluation by Artur Zaborski, Marcin Pełka

“…Besides that it presents how other unfolding approaches could be adapted for symbolic data.…”
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PolSAR-MPIformer: A Vision Transformer Based on Mixed Patch Interaction for Dual-Frequency PolSAR Image Adaptive Fusion Classification by Xinyue Xin, Ming Li, Yan Wu, Xiang Li, Peng Zhang, Dazhi Xu

“…On the other hand, the DAF evaluates the classification confidence of each band and assigns different weights accordingly, which achieves reasonable utilization of the complementarity between dual-frequency data and improves classification accuracy. …”
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ICESat-2 Satellite LiDAR Bathymetry Extraction Algorithm Based on Cubic Function Fitting Prediction Interval Along Track Segments by Junyuan Chen, Yi Ma, Yang Jiang, Kun Jia, Aijun Cui, Xuechun Zhang, Shaohui Li, Jingyu Zhang

“…Compared with adaptive elevation difference thresholding algorithm, density-based spatial clustering of applications with noise, and ordering points to identify the clustering structure, the proposed algorithm exhibits the best denoising effect, and the extracted seafloor photons show good continuity without obvious noise photons.…”
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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

“…No-line-of-sight (NLOS) signal analysis, which is the fundamental of seeing through the wall of critical information that is not visible, is disclosed through analysis, and developmental systems can be seen for identifying imprisoned human victims and detecting differences in disaster scenarios. This technology is essential for locating stranded people and evaluating different crises. …”
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D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

“…However, under the facility scenario, existing detection algorithms still have challenging problems such as weak feature extraction ability for occlusion conditions and different fruit sizes, low accuracy on edge location, and heavy model parameters. …”
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Dynamic Path Planning Method for Unmanned Surface Vessels in Complex Traffic Conditions of Island Reefs Waters by Jing Peng, Xinyuan Zhao, Qi Zhao

“…Unmanned Surface Vehicles (USVs) operating in complex traffic conditions in island reef waters often require different types of algorithms. Therefore, selecting a dynamic path-planning algorithm with strong adaptability has become a new challenge. …”
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Study on the Effect of Apple Size Difference on Soluble Solids Content Model Based on Near-Infrared (NIR) Spectroscopy by Xiaogang Jiang, Mingwang Zhu, Jinliang Yao, Yuxiang Zhang, Yande Liu

“…To better address the effects of apple size differences, data fusion techniques were used to perform an intermediate fusion of apple fruit diameter and spectra, firstly, the competitive adaptive reweighting algorithm (CARS) and the continuous projection algorithm (SPA) were used to select spectral variables and build their prediction models for apple SSC, respectively, and the results showed that the models built with 61 spectral variables selected by CARS had better performance, greatly reduced the amount of data involved in modeling, effectively simplified the model, and improved the stability of the model. …”
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