Septic Lateral Sinus Thrombosis: Sinus Exploration Is Unnecessary by Gautam Bir Singh, Rubeena Arora, Sunil Garg, Deepak Kumar, Shruti Ranjan

“…The algorithm of treatment of septic lateral sinus thrombosis (SLST) has undergone a paradigm shift with the understanding of the natural history of sigmoid sinus thrombosis. …”
Get full text

Bandlimited Frequency-Constrained Iterative Methods by Harrison Garrett, David G. Long

“…We find that this iterative method for variable aperture reconstruction is equivalent to solving a bandlimited conjugate gradient descent algorithm.…”
Get full text

Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance by Jiachen Tang, Boqiang Shi, Zhixing Li

“…The article analyzes the effects of the delay term, feedback term, and system parameter on the effect of SR and uses the ant colony algorithm (ACA) to optimize the above parameters. Finally, through simulated and engineering experimental results, it is proved that the proposed method has more advantages than the CBSR method in weak fault feature extraction.…”
Get full text

Multiagent Routing Simulation with Partial Smart Vehicles Penetration by Bogumił Kamiński, Łukasz Kraiński, Atefeh Mashatan, Paweł Prałat, Przemysław Szufel

“…The smart car routing algorithm proposed in this paper reduced travelling time up to 30%. …”
Get full text

On Particle Swarm Optimization for MIMO Channel Estimation by Christopher Knievel, Peter Adam Hoeher

“…Evolutionary algorithms, in particular particle swarm optimization (PSO), have recently received much attention. …”
Get full text

Video Traffic Flow Analysis in Distributed System during Interactive Session by Soumen Kanrar, Niranjan Kumar Mandal

“…The proposed session based optimum storage finding algorithm reduces the search hop count towards the remote storage-data server. …”
Get full text

Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set by Minggong Wu, Wenda Yang, Kexin Bi, Xiangxi Wen, Jianping Li

“…In the process of solving the optimal dominating set of the network, we introduce the immune mechanism based on the particle swarm algorithm (PSO) and ensure the priority deployment of a critical aircraft and high-risk conflicts by setting two types of antigens, nodes and connected edges. …”
Get full text

Hybrid Fingerprinting-EKF Based Tracking Schemes for Indoor Passive Localization by Salar Bybordi, Luca Reggiani

“…Additionally, in order to improve accuracy of ranging, we investigate the impact of a priori knowledge related to the clusters impulse responses and other features; the applied so called soft ranging algorithm for time of arrival (TOA) estimation is modified in order to take advantage of this a priori information and to make its decision variables more accurate. …”
Get full text

Advancements in Image Classification: From Machine Learning to Deep Learning by Cheng Haoran

“…This paper systematically reviews the growth of image classification technology, beginning with the introduction of commonly used datasets such as CIFAR-10, ImageNet, and MNIST, and exploring their impact on algorithm development. Subsequently, the paper provides an in-depth analysis of image classification methods based on machine learning, including traditional algorithms such as Support Vector Machine (SVM), Random Forest, and Decision Tree. …”
Get full text

Suppression of MRI Truncation Artifacts Using Total Variation Constrained Data Extrapolation by Kai Tobias Block, Martin Uecker, Jens Frahm

“…The assumption translates into a total variation minimization problem, which can be solved with a nonlinear optimization algorithm. In the presence of substantial noise, a modified approach offers edge-preserving denoising by allowing for slight deviations from the measured data in addition to supplementing data. …”
Get full text

Swarming Computational Procedures for the Coronavirus-Based Mathematical SEIR-NDC Model by Suthep Suantai, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Watcharaporn Cholamjiak

“…The swarming procedure based on the particle swarm optimization (PSO) works as a global search, while the sequential quadratic programming (SQP) is used as a local search algorithm. A merit function is constructed by using the nonlinear dynamics of the SEIR-NDC mathematical system based on its 7 classes, and the optimization of the merit function is performed through the PSOSQP. …”
Get full text

Circular Antenna Array Synthesis Using Multiverse Optimizer by Ahmet Emre Taser, Kerim Guney, Erhan Kurt

“…Since achieving a desired antenna radiation pattern is a mathematical problem, in the literature, there are various optimization algorithms applied to the synthesis process of different kinds of antenna arrays. …”
Get full text

Efficient high‐speed framework for sparse representation‐based iris recognition by Michael Melek, Mohamed F. Abu‐Elyazeed, Ahmed Khattab

“…To considerably improve classification performance, SRC is proposed, using a greedy compressed‐sensing recovery algorithm, as opposed to employing the traditional computationally expensive ℓ1 minimisation. …”
Get full text

Pneumomediastinum, Pneumopericardium, and Epidural Pneumatosis following Adenotonsillectomy: A Very Rare Complication by Feride Fatma Görgülü, Ayşe Selcan Koç, Orhan Görgülü

“…The possible mechanism, the algorithm of treatment, and precautions in such cases will be discussed.…”
Get full text

Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms by Imad Zyout, Ikhlas Abdel-Qader, Christina Jacobs

“…Followed by an estimation of the classifier's decision function parameters, a mammogram is segmented into the identified targets (MCs) against background (healthy tissue). The proposed algorithm has been tested using 23 mammograms from the mini-MIAS database. …”
Get full text

Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets by Sajid Mahmood, Muhammad Shahbaz, Aziz Guergachi

“…In this paper, we propose an algorithm for discovering positive and negative association rules among frequent and infrequent itemsets. …”
Get full text

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology by J. M. Urquiza, I. Rojas, H. Pomares, J. Herrera, J. P. Florido, O. Valenzuela

“…In the present work, a new approach is proposed to construct a PPI predictor training a support vector machine model through a mutual information filter-wrapper parallel feature selection algorithm and an iterative and hierarchical clustering to select a relevance negative training set. …”
Get full text

Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems by LYU Yongfeng, JIAN Long

“…The optimal feedback controls are obtained with an approximate dynamic programming algorithm, which can be used to research the saddle point and minimized the performance index. …”
Get full text

Observation and Numerical Simulation of Terrain-Induced Windshear at the Hong Kong International Airport in a Planetary Boundary Layer without Temperature Inversions by P. W. Chan, K. K. Hon

“…Moreover, the windshear detection algorithm as applied to the AVM output, called AVM-GLYGA, is able to give advance alert for the occurrence of low-level windshear. …”
Get full text

Safety Characteristic Evaluation of Cage in Cylindrical Roller Bearing at the Stage of Start-Up and Stop by Zhang Wenhu, Wu Zhimin, Deng Sier, Zhang Song, Tian Heng, Yang Haisheng

“…The dynamics model of cylindrical roller bearing (CRB) in aeroengine main shaft was promoted and solved by Hilber–Hughes–Taylor (HHT) integer algorithm with variable step in combination with symmetric multiprocessing (SMP) parallel solving technology, and a finite element model of roller to cage contact was built. …”
Get full text