Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…The AAIFLF-PPCD approach aims to ensure robust and scalable cyberthreat detection while preserving the privacy of IoT users in smart cities. …”
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Numerical simulation and optimization for dynamic responses of floating hoses in CALM system by Ke HU, Chen AN, Aixia ZHANG, Kexin CHEN, Xianjing BAI

“…Subsequently, the genetic algorithm was leveraged to facilitate the optimization of floating hose configurations, leading to a multi-objective optimized design aimed at minimizing effective tension and curvature. …”
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An Improved Unmanned Aerial Vehicle Forest Fire Detection Model Based on YOLOv8 by Bensheng Yun, Xiaohan Xu, Jie Zeng, Zhenyu Lin, Jing He, Qiaoling Dai

“…However, in the process of drone monitoring, fires often appear very small and are easily obstructed by trees, which greatly limits the amount of effective information that algorithms can extract. Meanwhile, considering the limitations of unmanned aerial vehicles, the algorithm model also needs to have lightweight characteristics. …”
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An Upper Partial Moment Framework for Pathfinding Problem Under Travel Time Uncertainty by Xu Zhang, Mei Chen

“…To efficiently solve the model, an SDT-based label-correcting algorithm is adapted, with a pre-screening step to reduce unnecessary pairwise path comparisons. …”
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Machine learning assisted radiomics in predicting postoperative occurrence of deep venous thrombosis in patients with gastric cancer by Yuan Zeng, Yuhao Chen, Dandan Zhu, Jun Xu, Xiangting Zhang, Huiya Ying, Xian Song, Ruoru Zhou, Yixiao Wang, Fujun Yu

“…The least absolute shrinkage and selection operator (LASSO) algorithm was applied to reduce the dimensionality of variables in the training set. …”
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Improved Cd Detection in Rice Grain Using LIBS with Husk-Based XGBoost Transfer Learning by Weiping Xie, Jiang Xu, Lin Huang, Yuan Xu, Qi Wan, Yangfan Chen, Mingyin Yao

“…In the case of polished rice, the base model achieved <i>R_C²</i> of 0.9838 and <i>R_P²</i> of 0.8683, while the transfer learning model enhanced these to 0.9883 and 0.9699, respectively. …”
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Association of new Life’s Essential 8 with biological aging among the national health and nutrition examination surveys by Xiaoli Chen, Xin Yin, Xin Chen, Yajie Gao, Nan Ye, Xingkang He

“…The LE8 scores, derived from measurements following the American Heart Association definitions, were categorized into three levels: low, moderate, and high, on a scale of 0 to 100. The PhenoAge algorithm was used to compute biological age, while the PhenoAge advancement was used to assess biological age acceleration. …”
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Inter-annual changes and growth trends mapping of mangrove using Landsat time series imagery by Xiaohui Huang, Yingchun Fu, Hu Ding, Guoan Tang, Peifeng Ma, Liangyun Liu, Yufei Xue, Shuting Wu, Ye Chen

“…The area of mangroves represented a total increase of 700 ha in the GBA, while slightly decreasing in the Sundarbans and the GP. …”
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The potentials of vehicle-grid integration on peak shaving of a community considering random behavior of aggregated vehicles by Yalun Li, Kun Wang, Chaojie Xu, Yu Wu, Liguo Li, Yuejiu Zheng, Shichun Yang, Hewu Wang, Minggao Ouyang

“…In a typical residential community with 100 EVs per 1000 people, disorderly charging increases the peak load by 17.1%, while VGI, with a participation ratio of 30%, reduces the load range by 74.8%. …”
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BEHAVIOUR OF GLOBALLY CHAOTIC PARAMETERS OF HEART RATE VARIABILITY FOLLOWING A PROTOCOL OF EXERCISE WITH FLEXIBLE POLE by Ana M.S. Antonio, David M. Garner, Marco A. Cardoso, Luiz Carlos de Abreu, Rodrigo Daminello Raimundo, Marcelo T. Navega, Vitor Engrácia Valenti

“…This was investigated while at rest before and, then in the recovery phase from the flexible pole exercise.Material and methods. …”
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Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…By improving surgical precision while potentially reducing complications, this technique benefits both surgeons and patients. …”
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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…The processing of input data and exploratory analysis were performed using a clustering algorithm based on Dynamic Time Warping (DTW), with K-means applied to the time series. …”
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Estimating Heart Rate from Inertial Sensors Embedded in Smart Eyewear: A Validation Study by Sarah Solbiati, Federica Mozzini, Jean Sahler, Paul Gil, Bruno Amir, Niccolò Antonello, Diana Trojaniello, Enrico Gianluca Caiani

“…QI ≥ 70 also allowed biases to decrease (e.g., from −1.83 to −0.19 bpm while standing), with narrower limits of agreement, compared to ECG. …”
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Diagnosis and treatment outcomes of primary lymphoma of the thyroid gland by Omar Hamdy, Gehad A. Saleh, Ramadan Ayman Selim, Radwa M. Abdelsattar, Maryam M. Dawood, Youssef Y. Abbas, Rana Abdo, Yousef M. Mansour, Jana M. AbuZahra, Mohamed Elsayed, Ahmed E. Eladl, Shaimaa El-Ashwah, Mohamed Ezat

“…Abstract Introduction Primary thyroid lymphoma (PTL) is a rare extranodal malignancy accounting for less than 5% of thyroid cancer, with a unique algorithm of management in contrast to other types of thyroid cancer, where surgery is the cornerstone of management. …”
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Sparse point spread function-based multi-image optical encryption by Ning Xu, Dalong Qi, Long Cheng, Zhen Pan, Chengyu Zhou, Wenzhang Lin, Hongmei Ma, Yunhua Yao, Yuecheng Shen, Lianzhong Deng, Zhenrong Sun, Shian Zhang

“…During decryption, an iterative algorithm recovers encrypted images with improved reconstruction quality. …”
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Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar, Laura Gaita

“…A Random Forest Classification algorithm was employed to predict the incidence of different associations of cataracts (1, 2, or 3 types). …”
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Secure THz Communication in 6G: A Two-Stage DRL Approach for IRS-Assisted NOMA by Muhammad Shahwar, Manzoor Ahmed, Touseef Hussain, Muhammad Sheraz, Wali Ullah Khan, Teong Chee Chuah

“…Utilizing the deep deterministic policy gradient (DDPG) algorithm, we introduce a two-stage policy learning approach designed to optimize secrecy energy efficiency (SEE) while ensuring secure communication, even in the presence of multiple eavesdroppers (Eves). …”
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Analysis and validation of serum biomarkers in brucellosis patients through proteomics and bioinformatics by Xiao Li, Bo Wang, Xiaocong Li, Juan He, Yue Shi, Rui Wang, Dongwei Li, Ding Haitao, Ding Haitao

“…Machine learning algorithms were subsequently used to identify the optimal combination of diagnostic biomarkers. …”
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Deep LBLS: Accelerated Sky Region Segmentation Using Hybrid Deep CNNs and Lattice Boltzmann Level-Set Model by Fatema A. Albalooshi, M. R. Qader, Yasser Ismail, Wael Elmedany, Hesham Al-Ammal, Muttukrishnan Rajarajan, Vijayan K. Asari

“…In this paper, we present a new hybrid fast segmentation technique for the sky region that learns from object components to achieve rapid and effective segmentation while preserving precise details of the sky region. …”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…Combined with the derivative dynamic time warping algorithm and dynamic programming method for multi-well sequence stratigraphic correlation, a set of automatic sequence stratigraphic division and correlation methods is proposed. …”
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