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Correction:A Lightweight Approach for Skin Lesion Detection through Optimal Features Fusion

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Computers, Materials & Continua 2025年第1期82卷 1459-1459页

作者： Khadija Manzoor Fiaz Majeed Ansar Siddique talha Meraj Hafiz Tayyab Rauf Mohammed A.El-Meligy Mohamed Sharaf Abd Elatty E.Abd Elgawad Department of Information Technology University of GujratGujrat50700Pakistan Department of Software Engineering University of GujratGujrat50700Pakistan Department of Computer Science COMSATS University Islamabad-Wah CampusWah Cantt47040Pakistan Independent Researcher BradfordBD80HSUK Advanced Manufacturing Institute King Saud UniversityRiyadh11421Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

In the article“A Lightweight Approach for Skin Lesion Detection through Optimal Features Fusion”by Khadija Manzoor,Fiaz Majeed,Ansar Siddique,talha Meraj,Hafiz Tayyab Rauf,Mohammed ***-Meligy,Mohamed Sharaf,Abd Elatty *** Elgawad Computers,Materials&Continua,2022,Vol.70,No.1,pp.1617–***:10.32604/cmc.2022.018621,URL:https://***/cmc/v70n1/44361,there was an error regarding the affiliation for the author Hafiz Tayyab *** of“Centre for Smart Systems,AI and Cybersecurity,Staffordshire University,Stoke-on-Trent,UK”,the affiliation should be“Independent Researcher,Bradford,BD80HS,UK”.

关键词： Fusion Skin Feature

Performance of Text-Independent Automatic Speaker Recognition on a Multicore System

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Tsinghua Science and Technology 2024年第2期29卷 447-456页

作者： Rand Kouatly talha Ali Khan Faculty of Tech and Software Engineering University of Europe for Applied SciencesPotsdam 14469Germany

This paper studies a high-speed text-independent Automatic Speaker Recognition(ASR)algorithm based on a multicore system's Gaussian Mixture Model(GMM).The high speech is achieved using parallel implementation of the feature's extraction and aggregation methods during training and testing *** memory parallel programming techniques using both OpenMP and PThreads libraries are developed to accelerate the code and improve the performance of the ASR *** experimental results show speed-up improvements of around 3.2 on a personal laptop with Intel i5-6300HQ(2.3 GHz,four cores without hyper-threading,and 8 GB of RAM).In addition,a remarkable 100%speaker recognition accuracy is achieved.

关键词： Automatic Speaker Recognition(ASR) Gaussian Mixture Model(GMM) shared memory parallel programming PThreads OpenMP

Attitude-adjusting dynamical behavior of cubic rover on low-gravity testbed

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Astrodynamics 2024年第1期8卷 149-159页

作者： Bowen Jiang Muhammad talha Hussain Xiangyuan Zeng School of Automation Beijing Institute of TechnologyBeijing100081China

Cubic rovers that traverse by hopping systems are promising in low-gravity *** several analyses of the control methods and mobility of the cubic rover are available,investigations of its attitude-adjusting behavior are still *** study derives the dynamic equations of the two attitude-adjusting modes of the cubic rover,referred to as walking and *** relationships between the speed threshold and rotation angle of the cubic rover were investigated in both rigid and regolith environments using a self-designed low-gravity *** studies were conducted by considering the experimental and simulated *** results of this study can be interesting for roving mission planning when exploring planetary moons and small celestial bodies.

关键词： low-gravitytestbed attitude-adjusting motion cubic rover experimental study

Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack

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npj Computational Materials 2021年第1期7卷 1299-1319页

作者： talha Qasim Ansari Haitao Huang San-Qiang Shi Department of Applied Physics and Research Institute of Smart Energy the Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SAR Department of Mechanical Engineering the Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SAR

The complex degradation of metallic materials in aggressive environments can result in morphological and microstructural *** phase-field(PF)method is an effective computational approach to understanding and predicting the morphology,phase change and/or transformation of *** models are based on conserved and non-conserved field variables that represent each phase as a function of space and time coupled with time-dependent equations that describe the *** report summarizes progress in the PF modeling of degradation of metallic materials in aqueous corrosion,hydrogen-assisted cracking,high-temperature metal oxidation in the gas phase and porous structure evolution with insights to future applications.

关键词： corrosion cracking metallic

ILipo-PseAAC: Identification of Lipoylation Sites Using Statistical Moments and General PseAAC

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Computers, Materials & Continua 2022年第4期71卷 215-230页

作者： talha Imtiaz Baig Yaser Daanial Khan talha Mahboob Alam Bharat Biswal Hanan Aljuaid Durdana Qaiser Gillani School of Science and Technology University of Management and TechnologyLahorePakistan Department of Computer Science and Information Technology Virtual University of PakistanLahorePakistan Department of Biomedical Engineering New Jersey Institute of TechnologyNewarkNJUSA Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdul Rahman University(PNU)RiyadhSaudi Arabia Department of Economics University of LahoreLahorePakistan

Lysine Lipoylation is a protective and conserved Post Translational Modification(PTM)in proteomics research like prokaryotes and *** is connected with many biological processes and closely linked with many metabolic *** develop a perfect and accurate classification model for identifying lipoylation sites at the protein level,the computational methods and several other factors play a key role in this ***,most of the techniques and different traditional experimental models have a very high *** are time-consuming;so,it is required to construct a predictor model to extract lysine lipoylation *** study proposes a model that could predict lysine lipoylation sites with the help of a classification method known as Artificial Neural Network(ANN).The ANN algorithm deals with the noise problem and imbalance classification in lipoylation sites dataset *** the result shows in ten-fold cross-validation,a brilliant performance is achieved through the predictor model with an accuracy of 99.88%,and also achieved 0.9976 as the highest value of ***,the predictor model is a very useful and helpful tool for lipoylation sites *** of the residues around lysine lipoylation sites play a vital part in prediction,as demonstrated during feature *** wonderful results reported through the evaluation and prediction of this model can provide an informative and relative explanation for lipoylation and its molecular mechanisms.

关键词： Lipoylation lysine feature vector post translational modification amino acid Mathew’s correlation coefficient neural network

Multi-scale investigation of active failure for various modes of wall movement

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Frontiers of Structural and Civil Engineering 2021年第4期15卷 961-979页

作者： Ahmet talha GEZGIN Behzad SOLTANBEIGI Adlen ALTUNBAS Ozer CINICIOGLU Department of Civil Engineering Bogazici UniversityIstanbul34342Turkey Estimating&Engineering Department Van Oord Dredging and Marine ContractorsRotterdam3063 NHThe Netherlands Department of Civil Engineering Medipol UniversityIstanbul34810Turkey

Retained backfill response to wall movement depends on factors that range from boundary conditions to the geometrical characteristic of individual ***,mechanical understanding of the problem warrants multi-scale analyses that investigate reciprocal relationships between macro and micro ***,this study attempts a multi-scale examination of failure evolution in cohesionless ***,the transition of retained backfills from at-rest condition to the active state is modeled using the discrete element method(DEM).DEM allows conducting virtual experiments,with which the variation of particle and boundary properties is ***,various modes of wall movement(translation and rotation)toward the active state are modeled using two different backfills with distinct particle shapes(spherical and nonspherical)under varying *** each model,cumulative rotations of single particles are tracked,and the results are used to analyze the evolution of shear bands and their geometric ***,dependencies of lateral pressure coefficients and coordination numbers,as respective macro and micro behavior indicators,on particle shape,boundary conditions,and surcharge levels are ***,contact force networks are visually determined,and their influences on pressure distribution and deformation mechanisms are discussed with reference to the associated modes of wall movement and particle shapes.

关键词： discrete-element modelling granular materials retaining walls particle shape arching

Reconfigurable intelligent surface-aided wireless communications: An overview

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Intelligent and Converged Networks 2022年第1期3卷 33-63页

作者： Muhammad Zain Siddiqi talha Mir Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Department of Electronic Engineering Faculty of ICTBUITEMSQuetta 87300Pakistan

The reconfigurable intelligent surface(RIS)is an emerging technology,which will hopefully bring a new revolution in wireless *** RIS technology can be deployed in an indoor/outdoor environment to dynamically manipulate the propagation *** RIS consists of a large number of independently controllable passive elements,and these elements are involved in realizing high passive beamforming *** from the conventional active phased antenna array,there is no dedicated radio-frequency(RF)chain installed at the RIS to perform complex signal processing ***,it does not incur additional noise while retransmitting the incident wave,which is substantially a unique feature from the conventional wireless communication *** advantage of its working principle,RIS has been deployed in various practical *** this tutorial,at first we will review the latest advances in RIS,including the application scenarios such as the system and channel model,the information theoretic analysis,the physical realization and design,key signal processing techniques such as precoding and channel estimation,and ***,we discuss interesting future research problems for the RIS-aided communications.

关键词： reconfigurable intelligent surface(RIS) wireless communications new paradigm

A Grid-tied PV Inverter with Sag-severity-independent Low-voltage Ride Through, Reactive Power Support, and Islanding Protection

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1300-1311页

作者： Muhammad talha Siti Rohani S.Raihan Nasrudin Abd.Rahim UM Power Energy Dedicated Advanced Center(UMPEDAC) University of Malaya IEEE

This paper proposes a grid-tied photovoltaic(PV)inverter capable of low-voltage ride through(LVRT), reactive power support, and islanding protection. Unlike other LVRT inverters, the proposed inverter is independent of sag severity while maintaining the maximum power-point tracking(MPPT)under normal and faulty conditions. The addition of an energy storage buffer stage mitigates the DC-link voltage surge during sags. At the same time, the inverter injects the reactive power during back-to-back sags of variable depths. The control system of the inverter generates the appropriate reference signals for normal, LVRT, and anti-islanding modes while the MPPT continues running. The salient features of the proposed inverter are:(1) active power injection under normal grid conditions;(2)sag-depth independent LVRT with reactive power support;(3)no DC-link fluctuations;(4) continuous MPPT mode;and(5) simultaneous LVRT and anti-islanding support during a grid outage. The inverter demonstrates an uninterrupted operation and seamless transition between various operating modes. Simulations and the experimental prototype have been implemented to validate the efficacy of the proposed PV inverter.

关键词： Low-voltage ride through(LVRT) Sag maximum power point tracking(MPPT) single-phase photovoltaic(PV)inverter PV-battery system

Ensembles of Deep Learning Framework for Stomach Abnormalities Classification

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Computers, Materials & Continua 2022年第3期70卷 4357-4372页

作者： talha Saeed Chu Kiong Loo Muhammad Shahreeza Safiruz Kassim Department of Artificial Intelligence Faculty of Computer Science and Information TechnologyUniversiti Malaya50603 Kuala LumpurMalaysia

Abnormalities of the gastrointestinal tract are widespread worldwide ***,an effective way to diagnose these life-threatening diseases is based on endoscopy,which comprises a vast number of ***,the main challenge in this area is that the process is time-consuming and fatiguing for a gastroenterologist to examine every image in the ***,this led to the rise of studies on designingAI-based systems to assist physicians in the *** several medical imaging tasks,deep learning methods,especially convolutional neural networks(CNNs),have contributed to the stateof-the-art outcomes,where the complicated nonlinear relation between target classes and data can be learned and not limit to hand-crafted *** the other hand,hyperparameters are commonly set manually,which may take a long time and leave the risk of non-optimal hyperparameters for *** effective tool for tuning optimal hyperparameters of deep CNNis Bayesian ***,due to the complexity of the CNN,the network can be regarded as a black-box model where the information stored within it is hard to ***,Explainable Artificial Intelligence(XAI)techniques are applied to overcome this issue by interpreting the decisions of the CNNs in such wise the physicians can *** play an essential role in real-time medical diagnosis,CNN-based models need to be accurate and interpretable,while the uncertainty must be ***,a novel method comprising of three phases is proposed to classify these life-threatening *** first,hyperparameter tuning is performed using Bayesian optimization for two state-of-the-art deep CNNs,and then Darknet53 and InceptionV3 features are extracted from these fine-tunned ***,XAI techniques are used to interpret which part of the images CNN takes for feature *** last,the features are fused,and uncertainties are handled by selecting entropybased *** experimental results show that the

关键词： Gastrointestinal tract deep learning Bayesian optimization hyperparameters explainable AI uncertainty handling feature fusion