Multimodal Multiobject Tracking by Fusing Deep Appearance Features and Motion Information by Liwei Zhang, Jiahong Lai, Zenghui Zhang, Zhen Deng, Bingwei He, Yucheng He

“…We use the Nonmaximum Suppression (NMS) algorithm to combine the detection results of the two detectors to ensure the detection accuracy in complex scenes. …”
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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

“…A Multi-Scale Enhancement Prior algorithm enhances high-frequency and low-frequency features while the Information Flow Interaction module mitigates information stratification and blockage. …”
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Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach by Wen-Ting Lin, Guo Chen, Jueyou Li, Yan Lei, Wanli Zhang, Degang Yang, Tingzhen Ming

“…To further protect privacy and encourage participation, a fully distributed algorithm incorporating homomorphic encryption is employed. …”
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Voltage-driven autonomous cooperative control of EHLs for load stabilization by Bing Qi, Rui Liu, Deying Zhang, Zhuoqun Wang, Qi Qi

“…Finally, a Q-decomposition Multi-agent Independent eXtension (QMIX) algorithm is used to learn the mapping relation, and the EHLs real-time optimal control strategies are generated through the utilization of Centralized Training Decentralized Execution (CTDE) framework. …”
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Brain development during the lifespan of cynomolgus monkeys by Zhiqiang Tan, Binbin Nie, Huanhua Wu, Bang Li, Jingjie Shang, Tianhao Zhang, Zeyu Xiao, Chenchen Dong, Chunyuan Zeng, Biao Wu, Lu Hou, Bin Guo, Yong Cheng, Jian Gong, Weijian Ye, Lin Xu, Yuefeng Li, Xiaojiang Li, Steven H. Liang, Baoci Shan, Hao Xu, Lu Wang

“…Their brain volume and glucose metabolism were quantitatively analyzed by utilizing an individualized spatial segmentation algorithm. Our findings encapsulated the growth and development trends, sex differences, and asymmetrical variations in brain volume and glucose metabolism in cynomolgus monkeys, and analyzed the correlation between the brain volume and glucose metabolism. …”
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A Virtual Synchronous Generator Control Strategy Based on Transient Damping Compensation and Virtual Inertia Adaptation by Yan Xia, Yang Chen, Yao Wang, Renzhao Chen, Ke Li, Jinhui Shi, Yiqiang Yang

“…In addition, based on the TDC algorithm, an improved virtual inertia adaptive strategy utilizing the Inverse Square Root Unit (ISRU) approach is designed, and the tuning range of parameters is provided. …”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…This paper presents the implementation and quantitative evaluation of a multiphase three-dimensional deformable model in a level set framework for automated segmentation of brain MRIs. The segmentation algorithm performs an optimal partitioning of three-dimensional data based on homogeneity measures that naturally evolves to the extraction of different tissue types in the brain. …”
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Experimental Analysis of Neural Approaches for Synthetic Angle-of-Attack Estimation by Angelo Lerro, Piero Gili, Mario Luca Fravolini, Marcello Napolitano

“…The present work’s objective is to evaluate performances of a single-layer feed-forward generalized radial basis function network for AoA estimation trained with a sequential algorithm. The proposed analysis is performed comparing results obtained using a multilayer perceptron network adopting the same training and validation data.…”
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A new epidemic model of sexually transmittable diseases: a fractional numerical approach by Mudassar Rafique, Muhammad Aziz Ur Rehamn, Aisha M. Alqahtani, Muhammad Rafiq, A. F. Aljohani, Zafar Iqbal, Nauman Ahmed, Shafiullah Niazai, Ilyas Khan

“…These graphs show that the proposed numerical algorithm provides the positive bounded solutions. …”
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Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD by Yuheng Li, Yang Zhang, Jiwei Shen, Xinze Wen, Jianmei Chen, Wanqiang Zhu

“…Therefore, this study proposes a TEM data noise suppression method based on the marine predators algorithm (MPA) to optimize variational mode decomposition (VMD) combined with singular value decomposition (SVD). …”
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Artificial molecular communication network based on DNA nanostructures recognition by Junke Wang, Mo Xie, Lilin Ouyang, Jinggang Li, Lianhui Wang, Chunhai Fan, Jie Chao

“…By the establishment of a node partition algorithm for path traversal based on DR-AMCN, the computational complexity of the seven-node Hamiltonian path problem is reduced with the final solution directly obtained through the rate-zonal centrifugation method, and scalability of this approach is also demonstrated. …”
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Performance evaluation of the SM4 cipher based on field‐programmable gate array implementation by Sa'ed Abed, Reem Jaffal, Bassam Jamil Mohd, Mohammad Alshayeji

“…Scalar and pipelined designs with one or multiple hardware rounds are considered without altering the cipher algorithm. The results show that the best scalar implementation utilises less resources than the pipelined implementations by 7%. …”
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Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU by Dongqing Han, Xin Yang, Guang Li, Shuangyin Wang, Zhen Wang, Jiandong Zhao

“…After that, in view of the problem that the prediction accuracy of the GRU model was low in the continuous rainfall scenario, the APSO algorithm was used to optimize the parameters of the GRU network, and the APSO-GRU prediction model was constructed and verifications under the same road section and rain scene were carried out. …”
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Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities by Guanci Yang, Siyuan Yang, Kexin Luo, Shangen Lan, Ling He, Yang Li

“…Secondly, an NSSI detection algorithm based on the spatiotemporal features of indoor activities (NssiDetection) is proposed. …”
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XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites by Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani, Nijad Ahmad

“…By fusing word embeddings with evolutionary descriptors, it applies the SHapley Additive exPlanations (SHAP) algorithm for optimal feature selection and uses eXtreme Gradient Boosting (XGBoost) for classification. …”
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GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks by Zeyu Sun, Guisheng Liao, Cao Zeng, Lan Lan, Guozeng Zhao

“…Second, we adopt the genetic algorithm to build extra routing between different segments for intersegment load balancing. …”
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Prediction of Epileptic Seizure by Analysing Time Series EEG Signal Using k-NN Classifier by Md. Kamrul Hasan, Md. Asif Ahamed, Mohiuddin Ahmad, M. A. Rashid

“…The k-nearest neighbours (k-NN) algorithm is used for the classification of epilepsy then regression analysis is used for the prediction of the epilepsy level at different ages of the patients. …”
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Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence by Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing

“…This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm. Taking an excavation project of a foundation pit of Kunming in China as an example, after analyzing the settlement monitoring data of cross sections JC55 and JC56, the representative monitoring sites JC55-2 and JC56-1 were selected as the training monitoring samples of the GWO-ELM model. …”
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Approach for designing and modelling of nanoscale DG MOSFET devices using Kriging metamodelling technique by Toufik Bentrcia, Fayçal Djeffal, Elasaad Chebaki

“…It is also shown that the obtained Kriging interpolation models are precise enough to be used as objective functions in the context of a genetic algorithm optimisation with the aim of improving the device analogue/RF performance in terms of transconductance and cut‐off frequency parameters. …”
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Achieving On-Site Trustworthy AI Implementation in the Construction Industry: A Framework Across the AI Lifecycle by Lichao Yang, Gavin Allen, Zichao Zhang, Yifan Zhao

“…This framework addresses six key phases, including planning, data collection, algorithm development, deployment, maintenance, and archiving, and clarifies the design principles and development priorities needed for each phase to enhance AI system trustworthiness and acceptance. …”
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