Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis by Guoyong Wang, Tiange Fu, Ruijuan Zheng, Xuhui Zhao, Junlong Zhu, Mingchuan Zhang

“…Nonetheless, the rate of convergence for current neural temporal-difference (TD) learning algorithms is constrained, largely due to their high sensitivity to stepsize choices. …”
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Adaptive enhancement of shoulder x-ray images using tissue attenuation and type-II fuzzy sets. by Qifeng Liu, Yong Han, Lu Shen, Jialei Du, Marzia Hoque Tania

“…Additionally, we apply an improved Type-II fuzzy set algorithm to further optimize image sharpness. By simultaneously enhancing contrast and sharpness, the method significantly improves image quality and detail distinguishability. …”
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Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study by Binhua Dong, Huifeng Xue, Ye Li, Ping Li, Jiancui Chen, Tao Zhang, Lihua Chen, Diling Pan, Peizhong Liu, Pengming Sun

“…Moreover, image-based and population-based diagnostic performances of the AI algorithm and physicians with different levels of specialist experience were compared. …”
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Perbandingan Metode Penyelesaian Permasalahan Optimasi Lintas Domain dengan Pendekatan Hyper-Heuristic Menggunakan Algoritma Reinforcement-Late Acceptance by Anang Firdaus, Ahmad Muklason, Vicha Azthanty Supoyo

“…In improving performance, this study examines the effect of the adaptation of the Reinforcement Learning (RL) algorithm as LLH selection combined with the Late Acceptance algorithm as a move acceptance. …”
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Pre-Hospital Point-of-Care Troponin: Is It Possible to Anticipate the Diagnosis? A Preliminary Report by Cristian Lazzari, Sara Montemerani, Cosimo Fabrizi, Cecilia Sacchi, Antoine Belperio, Marilena Fantacci, Giovanni Sbrana, Agostino Ognibene, Maurizio Zanobetti, Simone Nocentini

“…The rationale of the HEART POCT study is to propose the application of the 0/1 h European Society of Cardiology (ESC) algorithm in the pre-hospital setting using a POCT device (Atellica VTLi). …”
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Epidemiology of community-acquired pneumonia among hospitalised children in Indonesia: a multicentre, prospective study by Rina Triasih, Yan Mardian, Dewi Lokida, Helmia Farida, Herman Kosasih, Adhella Menur Naysilla, Arif Budiman, Chakrawati Hayuningsih, Moh Syarofil Anam, Dwi Wastoro, Mujahidah Mujahidah, Setya Dipayana, Amalia Setyati, Abu Tholib Aman, Nurhayati Lukman, Muhammad Karyana, Ahnika Kline, Aaron Neal, Chuen-Yen Lau, Clifford Lane

“…We applied a previously published algorithm (PEER-PePPeS rules) to determine the causative pathogen(s).Results 188 subjects were enrolled. …”
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A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis by Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo

“…Based on this concept, we then design a novel NL equalizer relying on the Smart Ordering and Candidate Adding (SOCA) algorithm. This reduced complexity NL detection algorithm is particularly well suited for practical hardware implementation using parallel processing at a low latency. …”
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Segmentasi Pelanggan Ritel Produk Farmasi Obat Menggunakan Metode Data Mining Klasterisasi Dengan Analisis Recency Frequency Monetary (RFM) Termodifikasi by Arief Wibowo, Andy Rio Handoko

“…The performance of the model is compared with the K-Medoids algorithm. The results of customer clustering in two categories using K-Medoids have a DBI value of 1,334. …”
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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

“…This was confirmed by the XGboost algorithm, and decision curves confirmed the higher clinical net benefit of the combined model. …”
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Marketing Resource Allocation Strategy Optimization Based on Dynamic Game Model by Yan Long, Hongshan Zhao

“…In this paper, the existence of Nash equilibrium and its solution algorithm are proved in the noncooperative case, and the “subgame consistency” of the cooperative solution (Shapley value) is discussed in the cooperative case, and the cooperative solution satisfying the subgame consistency is obtained by constructing the “allocation compensation procedure.” …”
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Research on the Method of Traffic Organization and Optimization Based on Dynamic Traffic Flow Model by Shu-bin Li, Guang-min Wang, Tao Wang, Hua-ling Ren

“…Then the appropriated optimization model and algorithm were proposed according to different optimized content and organization goals, and the traffic simulation processes more suitable to regional optimization were designed exactly. …”
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Flocking Behavior of Boids Driven by Hyperchaotic MACM System by Rosa Martha López-gutiérrez, Lılıana Cardoza Avendaño, Ana Medina, Cesar Cruz Hernández

“…A measure of chaotic compound will be introduced to the algorithm by means of a new four-dimensional autonomous hyperchaotic system based on the 3D Méndez-Arellano-Cruz-Martínez (MACM) system. …”
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Synthetic Aperture Interferometric Passive Radiometer Imaging to Locate Electromagnetic Leakage From Spacecraft Surface by Yuting Zhang, Jie Zhang, Yuhan Huang, Nan Dong

“…Experiments were conducted on a 1 m × 1 m × 1 m cabin with 51 holes on one surface, and the algorithm proposed in this paper was validated to effectively image and locate electromagnetic leakage points at different frequencies. …”
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Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM) by Ani Apriani, Nono Carsono, Mas Dadang Enjat Munajat

“…Keywords: Prediction, Algorithm, SVM. Linear Regression.…”
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Global Distribution Adjustment and Nonlinear Feature Transformation for Automatic Colorization by Terumasa Aoki, Van Nguyen

“…To design an efficient matching algorithm for automatic colorization, clustering pixel with low computational cost and generating descriptive feature vector are the most important challenges to be solved. …”
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Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods by Yue Guo, Yu Song, Zilong Lai, Xuyang Wang, Licheng Wang, Hui Qin

“…Aiming to optimize both performance and efficiency, the PSO algorithm is used for hyperparameter optimization. …”
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Nonlinear Modeling and Identification of an Aluminum Honeycomb Panel with Multiple Bolts by Yongpeng Chu, Hao Wen, Ti Chen

“…In particular, the linear material parameters of the panel are identified via experimental tests at low excitation levels, whereas the nonlinear material parameters of the thin layer are updated by using the genetic algorithm to minimize the residual error between the measured and the simulation data at a high excitation level. …”
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Direction Finding Using Multiple Sum and Difference Patterns in 4D Antenna Arrays by Quanjiang Zhu, Shiwen Yang, Ruilin Yao, Zaiping Nie

“…The full 4D array is divided into two subarrays and the differential evolution (DE) algorithm is used to optimize the time sequence of each subarray to generate multibeams at the center frequency and low sidebands. …”
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Combined DFT and Fuzzy Based Faulty Phase Selection and Classification in a Series Compensated Transmission Line by Praveen Kumar Mishra, Anamika Yadav

“…In order to mitigate this problem, a combined discrete Fourier transform and fuzzy (CDFTF) based algorithm has been proposed in this paper. This method has been tested on a 400 km, 735 kV series compensated transmission line network and WSCC 3-machine 9-bus system for all fault types using MATLAB/Simulink and PSCAD platforms, respectively. …”
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Characterization of Short-Term Strength Properties of Fiber/Cement-Modified Slurry by Ping Jiang, Tianhao Mao, Na Li, Liang Jia, Fang Zhang, Wei Wang

“…A formula satisfying the accuracy requirement was obtained by fitting the stress-strain curves using the back propagation (BP) neural network algorithm. Five parameters, including peak strength, failure strain, initial elastic modulus, residual strength, and energy dissipation, were used to characterize the short-term strength properties of fiber/cement-modified slurry. …”
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