Design of low‐pass and band‐pass infinite impulse response maximally flat stable digital differentiators by Huoping Yi, Xiaoping Lai

“…In addition, a generalized‐positive‐realness‐based stability constraint is incorporated in the design to ensure the robust stability of the DD. A design algorithm is presented to maximise the total flatness degree subject to the flatness conditions and the stability constraint, resulting in maximally flat stable DDs (MFSDDs). …”
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Machine Learning–Based Predictive Farmland Optimization and Crop Monitoring System by Marion Olubunmi Adebiyi, Roseline Oluwaseun Ogundokun, Aneoghena Amarachi Abokhai

“…This study provided a machine learning–aided mobile system for farmland optimization, using various inputs such as location, crop type, soil type, soil pH, and spacing. Random forest algorithm and BigML were employed to analyze and classify datasets containing crop features that generated subclasses based on random crop feature parameters. …”
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Decoding cortical folding patterns in marmosets using machine learning and large language model by Yue Wu, Xuesong Gao, Zhengliang Liu, Pengcheng Wang, Zihao Wu, Yiwei Li, Tuo Zhang, Tianming Liu, Tao Liu, Xiao Li

“…Utilizing advanced machine learning algorithm and large language model (LLM), we identified genes with significant transcriptomic differences between concave (sulci) and convex (gyri) cortical patterns. …”
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Road Pavement Information Modeling through Maintenance Scenario Evaluation by C. Oreto, S. A. Biancardo, N. Viscione, R. Veropalumbo, F. Russo

“…The database associated to the BIM model is a collection of three years of data derived from laboratory investigation on bituminous mixtures’ samples adopted for the maintenance of four main roads located in southern Italy. An algorithm that interacts with the three-dimensional road model has been implemented in order to give road administrations an easy-to-read alert signal for the road pavement structure of the road network that may present the most critical conditions due to poor mechanical and physical features.…”
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Instantaneous Frequency Identification Using Adaptive Linear Chirplet Transform and Matching Pursuit by Chang Xu, Cong Wang, Jingbo Gao

“…The matching pursuit algorithm is employed to select optimal chirplets, and a modified version of chirplet transform is presented to estimate nonlinear varying frequencies. …”
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Stall Flutter Control of a Smart Blade Section Undergoing Asymmetric Limit Oscillations by Nailu Li, Mark J. Balas, Pourya Nikoueeyan, Hua Yang, Jonathan W. Naughton

“…Then, for the design of the stall flutter controller, the potential sensor signal for the stall flutter, the microtab control capability of the stall flutter, and the control algorithm for the stall flutter are studied. The improvement and the superiority of the proposed adaptive stall flutter controller are shown by comparison with a simple stall flutter controller.…”
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The Adjustment of Covariates in Cox’s Model under Case-Cohort Design by Guocai Rong, Luwei Tang, Wenting Luo, Qing Li, Lifeng Deng

“…For calculating the maximum likelihood estimates of the regression coefficients subject in Cox’s model, a minorization-maximization (MM) algorithm is developed. Simulation studies are performed to compare the estimations with the covariates undistorted, distorted, and adjusted to illustrate the proposed methods.…”
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Validation and Refinement of the Baveno VI Criteria for Ruling Out High-Risk Varices by Hong Zhou, Han Hu, Maoyong Tian, Jun Chu, Caiyun Tian, Yanqing Yang, Shide Lin

“…The Baveno VI criteria recommend the use of a simple algorithm based on a liver stiffness measurement<20 kPa through transient elastography and a platelet count>150×109/L for ruling out high-risk varices in patients with compensated advanced chronic liver disease. …”
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A Hybrid Multiuser Detector Based on MMSE and AFSA for TDRS System Forward Link by Zhendong Yin, Xu Jiang, Zhilu Wu, Xiaohui Liu

“…Minimum mean square error (MMSE) is a low complexity multiuser detection method, but MMSE detector cannot achieve satisfactory bit error ratio and near-far resistance, whereas artificial fish swarm algorithm (AFSA) is expert in optimization and it can realize the global convergence efficiently. …”
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Indoor Mobile Localization in Wireless Sensor Network under Unknown NLOS Errors by Long Cheng, Hao Wu, Chengdong Wu, Yunzhou Zhang

“…Simulation results show that the LC-MKHF algorithm has higher estimate accuracy in comparison with no-filter, Kalman filter, and H -infinity filter methods. …”
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Formulation of Scientific Concepts as a Component of the Research Competence of Future Teachers by T. F. Orekhova, T. G. Neretina, E. N. Kondrashova

“…The authors consider three types of tasks for the formulation of scientific concepts of different levels of complexity, describe an algorithm for performing by students tasks of each type. …”
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Design and Analysis of a Stand-Alone PV System for a Rural House in Pakistan by Amjad Iqbal, M. Tariq Iqbal

“…Perturbation and observation-based algorithm has been used for maximum power extraction from PV. …”
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Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing by Changbo Ke, Zhiqiu Huang, Weiwei Li, Yi Sun, Fangxiong Xiao

“…Thirdly, we present the algorithm of detecting privacy conflict in the process of cloud service composition and prove the correctness and feasibility of this method by case study and experiment analysis. …”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

“…By using the data mining algorithm Naive bayes and neural network, the student graduation in STMIK Widya Cipta Dharma (WiCiDa) can be predicted. …”
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Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

“…We employ the Indonesian thesaurus for changing synonyms in the EDA and do empirical experiments on parameters required by the algorithm to obtain optimal results of text augmentation. …”
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Penggunaan Internet Dikalangan Siswa SD di Kota Ternate: Suatu Survey, Penerapan Algoritma Clustering dan Validasi DBI by Firman Tempola, Miftah Muhammad, Abdul Mubarak

“…In addition, the data from the survey results are then clustered using the k-means clustering algorithm. Then the clustering validation was performed with the bouldin index davies. …”
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Klasifikasi Aktivitas Manusia Menggunakan Algoritme Computed Input Weight Extreme Learning Machine dengan Reduksi Dimensi Principal Component Analysis by M. Sofyan Irwanto, Fitra A. Bachtiar, Novanto Yudistira

“…The best hyperparameter obtained for the PCA algorithm is with a value of k = 207, and for the CIW-ELM algorithm with the number of hidden neurons = 600 and the sigmoid activation function. …”
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Peningkatan Performa Pengelompokan Siswa Berdasarkan Aktivitas Belajar pada Media Pembelajaran Digital Menggunakan Metode Adaptive Moving Self-Organizing Maps by Onky Prasetyo, Ahmad Afif Supianto, Syaiful Anam, Hilman Ferdinandus Pardede, Vicky Zilvan, R. Budiarianto Suryo Kusumo

“…The results showed that there was a statistically significant difference between the quantization error and the topographic error of the AMSOM algorithm and the SOM algorithm. The AMSOM method produces an average quantization error 27 times smaller and an average topographic error 54 times smaller than the SOM method. …”
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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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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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