Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…Second, the hybrid model constructed by long short-term memory and K-nearest neighbor (LSTM-KNN) algorithm using transformed grey wolf optimization is discussed. …”
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Research on automated guided vehicle (AGV) path tracking control based on laser simultaneous localization and mapping (SLAM) by W. Wang, Z. Bao, J. Zheng, T. Wang

“…Secondly, the research on the fusion of the improved particle swarm algorithm and PID (proportional, integral, differential) control applied to path tracking is discussed in depth. …”
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Object Detection Post Processing Accelerator Based on Co-Design of Hardware and Software by Dengtian Yang, Lan Chen, Xiaoran Hao, Yiheng Zhang

“…Given the similarities between the training and inference post processes, we unify four typical post processing algorithms and design a hardware accelerator based on this framework. …”
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Application of Radiomics Model of CT Images in the Identification of Ureteral Calculus and Phlebolith by Qiuyue Yu, Jiaqi Liu, Huashan Lin, Pinggui Lei, Bing Fan

“…Then, the maximum correlation minimum redundancy criterion and the least absolute shrinkage and selection operator algorithm were used for texture feature selection. …”
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Optimization of Data Distributed Network System under Uncertainty by Laxminarayan Sahoo, Supriyan Sen, Kalishankar Tiwary, Sovan Samanta, Tapan Senapati

“…Because our network design problem is a nonlinear, convex optimization problem, we have employed a well-known Kuhn–Tucker (K-T) optimality algorithm to solve the same. Here, we have used triangular fuzzy numbers to express uncertain traffic rates and data processing rates. …”
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On the enhancement of estimator efficiency of population variance through stratification, transformation, and formulation with application to COVID-19 data by Hameed Ali, Zafar Mahmood, T.H. AlAbdulaal

“…This work introduces a novel data-driven machine learning algorithm aiming stratification problem, formally based on subjective approach. …”
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Application of Extrapolation Capability of Vector Fitting for Out-of-Band Dominant Modal Synthesis of Voltage-Source Converters by Weihua Zhou, Jef Beerten

“…This identification is achieved through their band-limited frequency responses using the vector fitting (VF) algorithm. On its basis, a sensitivity index of a partial fraction term is derived to explain the out-of-band modal identification behavior of the VF. …”
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High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures by Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

“…In this work, we investigate how different throughput-oriented architectures can benefit one CS algorithm and what levels of acceleration are feasible on different modern platforms. …”
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Use of Awake Flexible Fiberoptic Bronchoscopic Nasal Intubation in Secure Airway Management for Reconstructive Surgery in a Pediatric Patient with Burn Contracture of the Neck by Tolga Totoz, Kerem Erkalp, Sirin Taskin, Ummahan Dalkilinc, Aysin Selcan

“…Our findings emphasize the importance of a preplanned algorithm for airway control in secure airway management and feasibility of awake FFB intubation in a pediatric patient with burn contracture of the neck during anesthesia induction for reconstructive surgery. …”
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Cognitive strategies for UAV trajectory optimization: Ensuring safety and energy efficiency in real-world scenarios by Mushtaq Muhammad Umer, Hein Venter, Owais Muhammad, Tamoor Shafique, Fuad A. Awwad, Emad A.A. Ismail

“…The proposed work offers an energy efficient RRT algorithm, which is used to assess multiple trajectory alternatives. …”
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Damage Identification in Bars with a Wave Propagation Approach and a Hybrid Optimization Method by R.A. Tenenbaum, K.M. Fernandes, L.T. Stutz, A.J. Silva Neto

“…Finally, an experimental validation of the sequential algebraic algorithm, used for modeling the direct problem, is presented.…”
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A Comprehensive Survey on Real-Time Image Super-Resolution for IoT and Delay-Sensitive Applications by M. J. Aashik Rasool, Shabir Ahmad, Sevara Mardieva, Sumaiya Akter, Taeg Keun Whangbo

“…We begin with an overview of the core concepts related to real-time SR, recent challenges, and algorithm classification and delve into potential application scenarios that merit attention. …”
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Parameters of Modular Microwave Vacuum Evaporators by Alexander V. Gavrilov, Yuriy B. Gerber

“…The data obtained were used to develop an algorithm that made it possible to calculate the design and operating parameters of the microwave vacuum evaporator, as well as standard size modules with emitter powers of 600–3000 W. …”
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Chaotic Dynamics of a Mixed Rayleigh–Liénard Oscillator Driven by Parametric Periodic Damping and External Excitations by Yélomè Judicaël Fernando Kpomahou, Laurent Amoussou Hinvi, Joseph Adébiyi Adéchinan, Clément Hodévèwan Miwadinou

“…Bifurcation structures of our system are performed through the fourth-order Runge–Kutta ode 45 algorithm. It is found that the system displays a remarkable route to chaos. …”
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A New Asymmetric Fully Homomorphic Encryption Scheme for Cloud Banking Data by Zana Thalage Omar, Fadhil Salman Abed, Shaimaa Khamees Ahmed

“…Our current research provides a new algorithm for a publicly-keyed encryption system to keep bank data from tampering and theft when stored on the cloud computing platform, and our new system achieves fully Homomorphic Encryption, which allows mathematical operations to be performed on the encrypted text without the need for the original text. …”
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Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…When changing the ratio of the number of high-priority blocks of infrared image pixels to the number of all blocks in the range of 0.25–0.75, the proposed algorithm is more efficient than global and adaptive histogram equalization algorithms.…”
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Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

“…This approach efficiently identifies the optimal set of parameters for a given numerical model through a strategy based on a Gaussian neighborhood algorithm. Through experiments, we demonstrate the efficacy of IMC in calibrating the widely used landscape evolution model CAESAR-Lisflood (CL). …”
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Cardiovascular medical image and analysis based on 3D vision: A comprehensive survey by Zhifeng Wang, Renjiao Yi, Xin Wen, Chenyang Zhu, Kai Xu

“…Additionally, we compile a list of publicly accessible cardiac image datasets and code repositories to support the reproduction of related algorithms and foster data and algorithm sharing within the community. …”
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A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing by Guowei Zhang, Jinrui Wang, Baokun Han, Sixiang Jia, Xiaoyu Wang, Jingtao He

“…In the second stage, the learned features are obtained by training batch-normalized DSF with frequency-domain signals, and then the features are fine-tuned by backpropagation (BP) algorithm. In the third stage, softmax regression is used as a classifier for heath condition recognition based on the fine-tuned features. …”
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Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…A prediction model of the water inrush risk for the coal seam floor was established using a coupled algorithm of extreme learning machines, self-adaptive differential evolution, and CDMTD (PCA-CDMTD-SaDE-ELM) and was used to evaluate the water inrush risk in the 19,105 working face of the Yunjialing Mine. …”
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