Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…Subsequently, this identification result can be used as feedback for the heuristic algorithm to optimize and plan the USV’s path. The simulation results indicate that the developed model achieves an 80% reduction in model size while maintaining an accuracy exceeding 90%. …”
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Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study by Xiao-Qin Luo, Ning-Ya Zhang, Ying-Hao Deng, Hong-Shen Wang, Yi-Xin Kang, Shao-Bin Duan

“…The eXtreme Gradient Boosting algorithm was applied to establish a prediction model for MAKE30. …”
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Evaluating the utility of public-facing jail registers to inform public health practice, Washington state 2023 by Steven Erly, Richard J. Lechtenberg, Vasiliki Georgoulas-Sherry, Anna Berzkalns, Allison Moore, Julia C. Dombrowski, Jennifer E. Balkus

“…We compared the sensitivity and positive predictive value (PPV) of the algorithm applied to the reduced datasets and calculated an estimate for the entire dataset weighted by incarcerated population size. …”
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Principal Component Analysis for Weighted Data in the Procedure of Multidimensional Statistical Forecasting by V. V. Nikitin, D. V. Bobin

“…Therefore, the algorithm for predictive evaluation of a particular indicator is presented in a form that will be convenient for building and practical use of this rule in the future. …”
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Performance of a novel computer‐aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic I... by Ejaz Hossain, Mohamed Abdelrahim, Andrea Tanasescu, Masayoshi Yamada, Hiroko Kondo, Shijemi Yamada, Ryuji Hamamoto, Atsushi Marugame, Yutaka Saito, Pradeep Bhandari

“…Recently, a novel AI algorithm for the characterization of polyps was developed by NEC Corporation (Japan). …”
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Sex-Specific Ensemble Models for Type 2 Diabetes Classification in the Mexican Population by Mendoza-Mendoza MM, Acosta-Jiménez S, Galván-Tejada CE, Maeda-Gutiérrez V, Celaya-Padilla JM, Galván-Tejada JI, Cruz M

“…By identifying sex-specific predictive features, this work supports the development of precision medicine tools tailored to the Mexican population. …”
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Self-Adaptive Sampling Rate to Improve Network Lifetime using Watchdog Sensor and Context Recognition in Wireless Body Sensor Networks by Hamid Mehdi, Houman Zarrabi, Ahmad Khadem Zadeh, AmirMasoud Rahmani

“…In addition, our methods allow on average 75% improvement in overhead data reduction while maintaining more than 90% data integrity.…”
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Superresolution in separation estimation between two dynamic incoherent sources using spatial demultiplexing by Konrad Schlichtholz, Łukasz Rudnicki

“…Furthermore, we formulate a measurement algorithm that allows for the reduction of one parameter for estimation (system orientation angle) in the stationary sources scenario, maintaining the measurement precision despite the lack of knowledge about this parameter.…”
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Complex Network Analytics for Structural–Functional Decoding of Neural Networks by Jiarui Zhang, Dongxiao Zhang, Hu Lou, Yueer Li, Taijiao Du, Yinjun Gao

“…On CIFAR-10, our method achieves 55.5% parameter reduction with only 7.8% accuracy degradation—significantly outperforming traditional approaches. …”
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Sustainable supply chain: An optimization and resource efficiency in additive manufacturing for automotive spare part by Divya Chauhan, Anubhav Pratap Singh, Anand Chauhan, Ritu Arora

“…The optimized model also reduces production cycle time, enhancing sustainability by waste reduction. Leveraging genetic algorithm techniques for optimization and reinforced by rigorous numerical analysis, its efficacy and validity are robustly demonstrated.…”
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Two-Stage Integrated Optimization Design of Reversible Traction Power Supply System by Xiaodong Zhang, Wei Liu, Qian Xu, Zhuoxin Yang, Dingxin Xia, Haonan Liu

“…The parallel cheetah algorithm is employed to solve this complex optimization problem. …”
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AI-based classification of anticancer drugs reveals nucleolar condensation as a predictor of immunogenicity by Giulia Cerrato, Peng Liu, Liwei Zhao, Adriana Petrazzuolo, Juliette Humeau, Sophie Theresa Schmid, Mahmoud Abdellatif, Allan Sauvat, Guido Kroemer

“…Conclusions We developed AI-based algorithms for predicting CON-inducing drugs based on molecular descriptors and their validation using automated micrographs analysis, offering a new approach for screening ICD inducers with minimized adverse effects in cancer therapy.…”
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A Study on Improving of Adaptive Sensorless Control Performance via Funnel Control by Jun-Seo Han, Gyung-Jae Cho, Hyeon-Ji Jin, Geun-Ho Lee

“…This creates additional errors by the observer, which results in a reduction in sensorless estimation performance. To solve these problems, an online parameter estimation method using the recursive least squares (RLS) algorithm or by creating a parameter lookup table through experiments has been studied. …”
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A Discriminative Target Equation-Based Face Recognition Method for Teaching Attendance by Feng Xu, Haiwei Wang

“…Firstly, a combination of histogram equalization and wavelet denoising is chosen to preprocess the training sample images to obtain the face image light invariance description, and then, the initial dictionary is constructed using the dimensionality reduction performance of the PCA method; next, the initial dictionary is updated, and a new dictionary with representation and discrimination capabilities is obtained using the LC-KSVD algorithm that makes improvements in the dictionary update stage. …”
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Development of software interface for AI-driven weed control in robotic vehicles, with time-based evaluation in indoor and field settings by G C Sunil, Arjun Upadhyay, Xin Sun

“…Conversely, independent paired t-test revels that there is significant difference in image size between lab and field testing. The reduction of herbicide application based on grid map was obtained 79 to 80 %, which does not include YOLOv4 algorithm failure and system synchronization failure. …”
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Multifrequency Subsurface Soil Moisture Retrieval for Forest Flows: A Case Study in Te Hiku, New Zealand by Yu-Huan Zhao, Delwyn Moller, Dean Meason, Mahta Moghaddam

“…A subsurface soil moisture retrieval algorithm, using a pathfinder simultaneously acquired P- and L-band radar data over forested areas, is proposed in this article. …”
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OPTIMIZATION OF THE ANESTHETIC MANAGEMENT OF PATIENTS WITH PERIPHERAL ARTERY DISEASE WHO HAD A LOWER LIMB AMPUTATION by Денис Николаевич Макаров, Сергей Людовикович Кан, Елена Михайловна Васильченко

“…The independent risk factors that influenced the level of hospital lethality after lower limb amputations in patients with peripheral artery disease are: the level of limb amputation (transfemoral amputation), absence of a previous reconstructive surgery, history of myocardial infarction, concomitant chronic renal insufficiency, baseline level of myoglobin in the blood above 320 ng/ml, baseline level of blood glucose above 8 mmol/l, the need for blood transfusion and the absence of epidural anesthesia during the postoperative period. The use of the algorithm for the anesthetic management of the perioperative period after lower limb amputation in patients with peripheral artery disease showed its effectiveness by a significant reduction in hospital lethality, postoperative complications and postoperative psychoses.…”
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UAV coal-rock recognition and 3D coal seam model dynamic correction technology in open-pit mine by Jie Yuan, Guangwei Liu, Senlin Chai, Weiqiang Guo, Yunlong Huang

“…We propose a UAV coal-rock recognition and 3D coal seam model dynamic correction technology, which generates a UAV color point cloud and applies an improved region-growing algorithm and Alpha-shape algorithm for coal-rock identification and boundary points extraction. …”
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A Short-Term Load Forecasting Method Considering Multiple Factors Based on VAR and CEEMDAN-CNN-BILSTM by Bao Wang, Li Wang, Yanru Ma, Dengshan Hou, Wenwu Sun, Shenghu Li

“…Finally, the sine–cosine and Cauchy mutation sparrow search algorithm (SCSSA) is used to optimize the parameters of the combinative model to improve the forecasting accuracy. …”
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Optimization of D2D emergency communication resources for UAV relay based on DA-STD3 by Xiaofang Deng, Zijian Deng, Lin Zheng, Chao Yang, Chuanxu Chen

“…The feasibility and effectiveness of the algorithm is verified by comparing the baseline algorithm.…”
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