IRS-Assisted Wireless Sensor Networks With Hybrid TDMA-NOMA by Haitham Al-Obiedollah, Haythem Bany Salameh, Kanapathippillai Cumanan

“…To overcome these challenges, an iterative algorithm is proposed to solve the formulated optimization problem. …”
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Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

“…First, a robust global model aggregation algorithm is developed to address poisoning attacks by weighting edge nodes’ local model updates using a novel contribution index. …”
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Trusted Energy-Aware Hierarchical Routing (TEAHR) for Wireless Sensor Networks by Vikas, Charu Wahi, Bharat Bhushan Sagar, Manisha Manjul

“…Depending upon the type of sensor, they are transmitting a considerable amount of data in a short duration, so security is a significant issue while transferring the data. So, it is essential to solve security concerns while transferring data by secure routing in wireless sensor networks. …”
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Research of the state of the stress-realizing systems in pregnant women with miscarriage by V. A. Plotnik

“…The results of this work helps to develop algorithm for evaluation and prediction of the risk of miscarriage…”
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Study on intelligent height adjustment control method of shearer based on coal-rock interface recognition by Songyong LIU, Cheng CHENG, Hongzhuang WU, Yuming CUI, Deyuan MENG, Lei SI

“…Considering the specific requirements of coal mining process and equipment constraints, the cutting trajectory is optimized using a constrained optimization algorithm with the maximum recovery rate as the objective. …”
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Bilateral Leg Stepping Coherence as a Predictor of Freezing of Gait in Patients With Parkinson’s Disease Walking With Wearable Sensors by Tal Krasovsky, Benedetta Heimler, Or Koren, Noam Galor, Sharon Hassin-Baer, Gabi Zeilig, Meir Plotnik

“…In preparation for the development of a real-time FOG prediction and intervention device, this work presents a novel FOG prediction algorithm based on detection of altered interlimb coordination of the legs, as measured using two inertial movement sensors and analyzed using a wavelet coherence algorithm. …”
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Machine learning-based characterization of stemness features and construction of a stemness subtype classifier for bladder cancer by Heping Qiu, Xiaolin Deng, Jing Zha, Lihua Wu, Haonan Liu, Yichen Lu, Xinji Zhang

“…Methods We used bladder cancer datasets from the TCGA and GEO databases, based on stemness gene sets from the StemChecker database, to identify stemness subtypes using the consensus clustering algorithm. We calculated the mRNA expression-based stemness index (mRNAsi) using the OCLR algorithm. …”
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Automatic vowels selection and ranking in Russian enciphered texts by Yuri I. Petrenko

“…This work was developed while teaching students the cryptanalysis. The course includes the study of statistics of (Russian encrypted) texts. …”
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Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…Computational experiments focus on wind-rich coastal regions of Guangdong Province, evaluating both solution quality (coverage and utilization metrics) and computational efficiency under varying problem sizes.ResultsThe DRL algorithm achieves objective values comparable to or better than those from the Gurobi-based method, while substantially reducing computation time for large problem instances. …”
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Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression. by Jie Chu, Hanying Song, Kemin Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng

“…Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…”
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Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy by Jing Zhang, Lulu Cheng, Shan Jiang, Duosheng Zhu

“…Differentially expressed genes (DEGs) were identified using the “limma” package, while ARGs were obtained from GSEA, GeneCard, and Harmonizome datasets. …”
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A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

“…To address this challenge, a robust nonparametric density estimation algorithm is proposed to efficiently remove nonrandom noise while ensuring accurate surface elevation retrieval. …”
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Multi-objective Optimization Design of Component Cooling System in HPR1000 by ZHAO Weiguang1, 2, YU Pei1, 3, ZENG Xiaobo1, 2, FAN Guangming1, 2, YAN Changqi1, 2

“…To manage this complexity, a novel optimization algorithm was implemented to perform multi-objective optimization. …”
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease by James L. Jr. Januzzi, Naveed Sattar, Muthiah Vaduganathan, Craig A. Magaret, Rhonda F. Rhyne, Yuxi Liu, Serge Masson, Javed Butler, Michael K. Hansen

“…Low risk scores had negative predictive value of 94%, while high risk scores had positive predictive value of 58%. …”
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Research and application of deep learning object detection methods for forest fire smoke recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

“…Abstract Forest fires are severe ecological disasters worldwide that cause extensive ecological destruction and economic losses while threatening biodiversity and human safety. …”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…Additionally, in the cosine similarity assessment leveraging the Dynamic Principal Component Smoothing (DPCS) algorithm, our model achieved a τ of 0.530, ρ of 0.518, and an MAE of 1.320, further demonstrating the method’s effectiveness and precision in handling semantic similarity. …”
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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

“…For this purpose, after building the dataset and dividing it randomly into two training and testing datasets, five different XGBoost models were developed: a standalone XGBoost model and four hybrid models incorporating Harris hawk optimisation (HHO), the jellyfish search optimiser (JSO), the dragonfly algorithm (DA), and the firefly algorithm (FA). These models were subsequently evaluated for their ability to predict peak load values. …”
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Intelligent predictive risk assessment and management of sarcopenia in chronic disease patients using machine learning and a web-based tool by Ke Rong, Gu li jiang Yi ke ran, Changgui Zhou, Xinglin Yi

“…The Recursive Feature Elimination (RFE) algorithm was employed to optimize the full Multilayer Perceptron (MLP) model and develop an online application tool. …”
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The First Estimation of Multiple Shortwave Radiation Components from the Chinese New-Generation Broadband Sensor (Earth Radiation Measurement-II) Onboard Fengyun-3F Satellite by Xuewei Yan, Tianxing Wang, Wanchun Leng, Lin Chen, Wanchun Zhang

“…However, there is still a lack of an effective algorithm to derive shortwave radiation components based on the improved measurements of ERM-II. …”
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Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods by Suroor M. Dawood, Raad Z. Homod, Alireza Hatami

“…The reward function balances the ability to increase energy conservation while preserving the interior comfort requirements of occupants. …”
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