A Fault Diagnosis Method for Planetary Gearboxes Based on IFMD by Fengfeng Bie, Xueping Ding, Qianqian Li, Yuting Zhang, Xinyue Huang

“…Subsequently, a convolutional neural network integrated with the support vector machine model (CNN-SVM) is established, leveraging the convolutional neural network for feature extraction. Ultimately, SVM iteratively optimized by the particle swarm optimization (PSO) algorithm, serves as the classification technique. …”
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Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting by Jichang Zhang, Faisal Najeeb, Yulin Wang, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Thomas Meersmann, Chengbo Wang

“…We designed a soft weighting matrix that smoothly transitions spokes between the target and other motion states to suppress motion blurring. The optimized fast iterative shrinkage-thresholding algorithm (FISTA) was employed to solve the L+S optimization problem, enabling faster convergence and better image quality. …”
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Optimal Topology Configuration Design of Contoured-Beam Mesh Reflectors by Guigeng Yang, Aofei Tang, Yiqun Zhang, Zhenyi Yuan, Lingfei Kong

“…Then, based on the multifrequency optimization model, an iterative design technology is proposed to obtain the optimal topology configuration of the mesh-shaped reflector. …”
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Coexistence of a cross-diffusive West Nile virus model in a heterogenous environment by Abdelrazig K. Tarboush, Jing Ge, Zhigui Lin

“…The true positive solutions are obtained by monotone iterative schemes. Our results show that a cross-diffusive WNv model possesses at least one coexistence solution if the basic reproduction number is greater than one and the cross-diffusion rates are small enough, while if the basic reproduction number is less than or equal to one, the model has no positive solution. …”
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RESEARCH ON COMPRESSION AND RECONSTRUCTION OF TUBE FOULING ULTRASONIC TESTING SIGNAL BASED ON IMPROVED COSAMP by WANG TongTong, SUN LingFang

“…In ultrasonic tests,the redundant signal and random noise are easily to be generated when the sensor collects data.Compressing and reconstructing the signal or noise always get the researchers’ attention.Based on the theory of compressive sensing and ultrasonic testing method,an improved CoSaMP for tube fouling ultrasonic testing compression and reconstruction was proposed:The K-SVD algorithm was used to sparsely represent the ultrasonic testing signal.The relationship between the peak signal to noise ratio and the number of iterations was derived to determine the sparse degree adaptively.Finally,the sparsity differences of the echo signal and random noise in the transform domain was used to pick up effective information.The results showed that the improved CoSaMP algorithm can accurately locate signal sparsity.The reconstructed signal reflects that the characteristics of the original signal and the operation time are shorter.That proves the feasibility of the improved CoSaMP algorithm.…”
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Using the PubAnnotation ecosystem to perform agile text mining on : a tutorial review by Hee-Jo Nam, Ryota Yamada, Hyun-Seok Park

“…Thus, this review aims to provide a tutorial overview of practicing the iterative task of named entity recognition with the PubAnnotation/PubDictionaries/TextAE ecosystem. …”
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Privacy-preserving ADP for secure tracking control of AVRs against unreliable communication by Kun Zhang, Kezhen Han, Zhijian Hu, Guoqiang Tan

“…To mitigate information leakage and unauthorized access in vehicular network systems, an encrypted guaranteed-cost policy iteration algorithm is developed, incorporating encryption and decryption schemes between the vehicle and the cloud based on the tracking dynamics. …”
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Adapting a consensus process for survivors of domestic abuse and child maltreatment: a brief report about adopting a trauma-informed approach in multistakeholder workshops by Ruth Gilbert, Gene Feder, Eszter Szilassy, Katherine Cowan, Emma Howarth, Karen Johns, Alison Gregory, Ursula Lindenberg, Claire Powell

“…There is, however, limited advice about how to safely involve survivors of violence and abuse in consensus-based studies.Methods/results This commentary provides an overview of the adaptations made to a process of core outcome set development, to ensure that survivors of violence and abuse felt safe, heard and supported, and able to contribute in a meaningful way.Conclusions We advocate for an iterative process of listening to and learning from survivors, as well as buy-in from funders to ensure research studies are appropriately resourced and involve sufficient planning time.…”
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Basis expansion model-based improved regularized orthogonal matching pursuit channel estimation for V2X fast time-varying SC-FDMA by Yong LIAO, Zhirong CAI

“…In order to further improve the vehicle-to-everything (V2X) communication performance of the Internet of vehicles, a basis expansion model (BEM) was adopted and suitable for high-speed mobile scenarios to transform the channel estimation into a sparse signal reconstruction.Furthermore, it was proved that the BEM coefficients were sparse, and an improved regularized orthogonal matching pursuit (iROMP) channel estimation algorithm based on BEM (BEM-iROMP) was proposed.BEM coefficients were acquired by the iROMP, and finally the feedback results were iterated to achieve the optimal channel estimation.Simulation results show that in comparison with the least square (LS), linear minimum mean squared error (LMMSE), and BEM-LS channel estimation algorithms, the proposed algorithm can effectively improve the normalized mean square error (NMSE) and bit error rate (BER) performance.…”
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Rapid Focused Spot Scanning Imaging Using Multimode Fiber with a Convolutional Neural Network-Based Phase Modulation by Rongjing Tong, Anni Xu, Hua Shen

“…This approach efficiently focuses light fields by training neural networks to approximate the transmission matrix of the optical system, eliminating the need for iterative calculations. Experimental results indicate that this method can generate focused spots within 200 ms, representing a significant improvement over traditional methods. …”
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Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate by Shouying Huang, Jifa Jiang

“…Furthermore, by applying an iteration scheme and the theory of cooperative system respectively, we obtain sufficient conditions under which the endemic equilibrium is globally asymptotically stable. …”
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Convergence to Common Fixed Point for Generalized Asymptotically Nonexpansive Semigroup in Banach Spaces by Yali Li, Jianjun Liu, Lei Deng

“…We prove that the following implicit and modified implicit viscosity iterative schemes {xn} defined by xn=αnf(xn)+(1−αn)T(tn)xn and xn=αnyn+(1−αn)T(tn)xn, yn=βnf(xn−1)+(1−βn)xn−1 strongly converge to p∈F as n→∞ and p is the unique solution to the following variational inequality: 〈f(p)−p,j(y−p)〉≤0 for all y∈F.…”
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Caching strategy based on transmission delay for D2D cooperative edge caching system by Yan CAI, Fan WU, Hongbo ZHU

“…To meet the requirements of 5G system with low delay and high reliability, for a single-caching D2D cooperative edge caching system, an optimization of the caching strategy based on transmission delay was proposed.The dynamic distributions of requesting users and idle users were modeled as the independent homogeneous poisson point process (HPPP) utilizing the stochastic geometry theory.Comprehensively considering the content popularity, user location information, device transmission power and interference, the relationship between the average transmission delay of user and the cache probability distribution was derived.Taking the average transmission delay as the objective function, the optimization problem was established, and a low complexity iterative algorithm was proposed to obtain the cache strategy with sub-optimal average transmission delay.Simulation results demonstrate that the proposed optimization cache strategy is superior to several common cache strategies in terms of transmission delay.…”
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DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization by Nahla Mohamed Ahmed, Ling Chen, Yulong Wang, Bin Li, Yun Li, Wei Liu

“…The method learns latent features from the temporal and topological structure of a dynamic network and can obtain higher prediction results. We present novel iterative rules to construct matrix factors that carry important network features and prove the convergence and correctness of these algorithms. …”
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Real-Time and Quantitative Measurement of Crack-Tip Stress Intensity Factors Using Digital Holographic Interferometry by Haiting Xia, Rongxin Guo, Feng Yan, Heming Cheng

“…To enhance the accuracy of measurement, calibrated phase unwrapping based on least-squares and iteration and median filtering is applied to retrieve the actual phase from the noisy wrapped one. …”
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Precommitted Investment Strategy versus Time-Consistent Investment Strategy for a Dual Risk Model by Lidong Zhang, Ximin Rong, Ziping Du

“…Short-selling and borrowing money are allowed. Due to lack of iterated-expectation property, the Bellman Optimization Principle does not hold. …”
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Pengembangan Permainan Edukasi Berbasis Augmented Reality untuk Pembelajaran Senyawa Hidrokarbon bagi Siswa Sekolah Menengan Atas (SMA) by Carlista Naba, Muhammad Aminul Akbar, Ahmad Afif Supianto

“…Penelitian akan dilakukan dengan menggunakan metode Iterative and Rapid Prototyping, serta hasil dari penelitian akan diuji secara fungsional menggunakan Black Box Testing dan diujikan kepada responden dengan modul Game Experience Questionnaire (GEQ). …”
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Application of MRI image segmentation algorithm for brain tumors based on improved YOLO by Tao Yang, Xueqi Lu, Lanlan Yang, Miyang Yang, Jinghui Chen, Hongjia Zhao

“…The training and validation sets were input into the original YOLOv5s model, five optimized models, and the YOLOv8s model for 100 rounds of iterative training. The best weight file of the model with the best evaluation index in the six trained models was used for the final test of the test set.ResultsAfter iterative training, the seven models can segment and recognize brain tumor magnetic resonance images. …”
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A User-Centered Design Approach for a Screening App for People With Cognitive Impairment (digiDEM-SCREEN): Development and Usability Study by Michael Zeiler, Nikolas Dietzel, Fabian Haug, Julian Haug, Klaus Kammerer, Rüdiger Pryss, Peter Heuschmann, Elmar Graessel, Peter L Kolominsky-Rabas, Hans-Ulrich Prokosch

“…The prototype was tested in several iterations by various end users and continuously improved. …”
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A Modified Groundwater Flow Model Using the Space Time Riemann-Liouville Fractional Derivatives Approximation by Abdon Atangana, S. C. Oukouomi Noutchie

“…The modified equation is solved via the technique of green function and the variational iteration method.…”
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