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Design and Development of Low-cost Wearable Electroencephalograms (EEG) Headset

Intelligent Automation & Soft Computing 2023年第3期35卷 2821-2835页

作者： Riaz Muhammad ahmed ali M.Abid Anwar Toufique ahmed Soomro Omar AlShorman Adel Alshahrani Mahmoud Masadeh Ghulam Md Ashraf Naif H.ali Muhammad Irfan Athanasios Alexiou Department of Electrical Engineering Sukkur IBA University65200SukkurPakistan Department of Electronic Engineering Quaid-e-Awam University of EngineeringScience and TechnologyLarkana77150Pakistan Faculty of Engineering and AlShrouk Trading Company Najran UniversityNajran61441Saudi Arabia Department of Medical Rehabilitation Sciences-Physiotherapy Program College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Computer Engineering Department Yarmouk UniversityIrbid21163Jordan Pre-Clinical Research Unit King Fahd Medical Research CenterKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Medical Laboratory Technology Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Internal Medicine Medical CollegeNajran UniversityNajran61441Saudi Arabia Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Novel Global Community Educational Foundation HebershamNSW 2770AustraliaAFNP Med AustriaWien2770Austria

Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the *** EEG headset is a wearable device that records electrophysiological data from the *** paper presents the design and fab-rication of a customized low-cost Electroencephalogram(EEG)headset based on the open-source OpenBCI Ultracortex Mark IV *** electrode placement locations are modiﬁed under a 10–20 standard *** fabricated headset is then compared to commercially available headsets based on the following para-meters:affordability,accessibility,noise,signal quality,and ***,the data is recorded from 20 subjects who used the EEG Headset,and signals were ***,the participants marked the accuracy,set up time,participant comfort,and participant perceived ease of set-up on a scale of 1 to 7(7 being excellent).Thirdly,the self-designed EEG headband is used by 5 participants for slide *** raw EEG signal is decomposed into a series of band sig-nals using discrete wavelet transform(DWT).Lastly,theseﬁndings have been compared to previously reported *** concluded that when used for slide-changing control,our self-designed EEG headband had an accuracy of 82.0 *** also concluded from the results that our headset performed well on the cost-effectiveness scale,had a reduced setup time of 2±0.5 min(the short-est among all being compared),and demonstrated greater ease of use.

关键词： Brain-computer interface EEG consumer-grade accessibility headset

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Waste Heat Recovery from a Drier Receiver of an A/C Unit Using Thermoelectric Generators

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Energy Engineering 2023年第8期120卷 1729-1746页

作者： ali Jaber Abdulhamed Aws Al-Akam ahmed A.Abduljabbar Mohammed H.Alkhafaji Energy Engineering Department Faculty of Engineering/AL-MussayibUniversity of BabylonHillaBabylonIraq Construction and Projects Department Al Iraqia UniversityBaghdadIraq Department of Electrical Engineering University of TechnologyBaghdadIraq

Thermoelectric generators(TEGs)are considered promising devices for waste heat recovery from various *** Seebeck effect can be utilized to generate power using the residual heat emitted by the filter dryer receiver(FDR)of an air conditioning(A/C)system,which would otherwise go to *** study aims to build a set of thermoelectric generators(TEG)to collect the waste heat of the FDR and generate low-power electricity.A novel electrical circuit with two transformers is designed and fabricated to produce a more stable voltage for operation and *** thermoelectric generator(TEGs)was installed on the FDR of the A/C *** test showed that climate conditions have a significant impact on the output power generated from the *** results showed that the peak voltage recorded in the current study is 5.2 V per day(wet,cold,and wind weather)with an output power of 0.2 *** values are acceptable for powering the load and charging a single battery with 3.5 V as the voltage increases battery 0.1 V/20 min charge.A case study of operating the emergency signs in a building was *** current heat recovery system is deemed to be easily installed and can be connected to a network of TEGs to produce more power.

关键词： Thermoelectric generator waste heat filter dryer receiver air conditioning heat recovery

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An Innovative Approach Utilizing Binary-View Transformer for Speech Recognition Task

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Computers, Materials & Continua 2022年第9期72卷 5547-5562页

作者： Muhammad Babar Kamal Arfat Ahmad Khan Faizan ahmed Khan Malik Muhammad ali Shahid Chitapong Wechtaisong Muhammad Daud Kamal Muhammad Junaid ali Peerapong Uthansakul COMSATS University Islamabad Islamabad Campus45550Pakistan Suranaree University of Technology Nakhon Ratchasima30000Thailand COMSATS University Islamabad Lahore Campus54000Pakistan COMSATS University Islamabad Vehari Campus61100Pakistan National University of Sciences&Technology Islamabad45550Pakistan Virtual University of Pakistan Islamabad Campus45550Pakistan

The deep learning advancements have greatly improved the performance of speech recognition systems,and most recent systems are based on the Recurrent Neural Network(RNN).Overall,the RNN works fine with the small sequence data,but suffers from the gradient vanishing problem in case of large *** transformer networks have neutralized this issue and have shown state-of-the-art results on sequential or speech-related ***,in speech recognition,the input audio is converted into an image using Mel-spectrogram to illustrate frequencies and *** image is classified by the machine learning mechanism to generate a classification ***,the audio frequency in the image has low resolution and causing inaccurate *** paper presents a novel end-to-end binary view transformer-based architecture for speech recognition to cope with the frequency resolution ***,the input audio signal is transformed into a 2D image using ***,the modified universal transformers utilize the multi-head attention to derive contextual information and derive different speech-related ***,a feedforward neural network is also deployed for *** proposed system has generated robust results on Google’s speech command dataset with an accuracy of 95.16%and with minimal *** binary-view transformer eradicates the eventuality of the over-fitting problem by deploying a multiview mechanism to diversify the input data,and multi-head attention captures multiple contexts from the data’s feature map.

关键词： Convolution neural network multi-head attention multi-view RNN self-attention speech recognition transformer

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Fuzzy-HLSTM(Hierarchical Long Short-Term Memory)for Agricultural Based Information Mining

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Computers, Materials & Continua 2023年第2期74卷 2397-2413页

作者： ahmed Abdu Alattab Mohammed Eid Ibrahim Reyazur Rashid Irshad Anwar ali Yahya Amin A.Al-Awady Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajranSaudi Arabia Department of Computer Science College of Computer Science&Information SystemsNajran UniversityNajranSaudi Arabia Computer Skills Department Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia

This research proposes a machine learning approach using fuzzy logic to build an information retrieval system for the next crop *** case-based reasoning systems,case representation is critical,and thus,researchers have thoroughly investigated textual,attribute-value pair,and ontological *** big databases result in slow case retrieval,this research suggests a fast case retrieval strategy based on an associated representation,so that,cases are interrelated in both either similar or dissimilar *** soon as a new case is recorded,it is compared to prior data to find a relative *** proposed method is worked on the number of cases and retrieval accuracy between the related case representation and conventional *** Long Short-Term Memory(HLSTM)is used to evaluate the efficiency,similarity of the models,and fuzzy rules are applied to predict the environmental condition and soil quality during a particular time of the *** on the results,the proposed approaches allows for rapid case retrieval with high accuracy.

关键词： Machine learning agriculture IoT HLSTM fuzzy rules

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Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

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Computers, Materials & Continua 2023年第2期74卷 3727-3741页

作者： Md Zahid Hasan Ontor Md Mamun ali Kawsar ahmed Francis M.Bui Fahad ahmed Al-Zahrani S.M.Hasan Mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model

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Antibacterial mechanism with consequent cytotoxicity of different reinforcements in biodegradable magnesium and zinc alloys: A review

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Journal of Magnesium and Alloys 2023年第9期11卷 3038-3058页

作者： Chowdhury ahmed Shahed Faiz Ahmad Ebru Günister Farhana Mohd Foudzi Saad ali Khurshid Malik Wan Sharuzi Wan Harun Department of Mechanical Engineering Universiti Teknologi PETRONAS(UTP)32610Seri IskandarPerakMalaysia Faculty of Engineering and Natural Sciences Department of Mechanical EngineeringIstanbul Health and Technology UniversityIstanbulTurkey Department of Mechanical and Manufacturing Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Mechanical&Automotive Engineering Technology Universiti Malaysia Pahang26600 PekanPahangMalaysia

Benefits achieved by the biodegradable magnesium(Mg) and zinc(Zn) implants could be suppressed due to the invasion of infectious microbial, common bacteria, and fungi. Postoperative medications and the antibacterial properties of pure Mg and Zn are insufficient against biofilm and antibiotic-resistant bacteria, bringing osteomyelitis, necrosis, and even death. This study evaluates the antibacterial performance of biodegradable Mg and Zn alloys of different reinforcements, including silver(Ag), copper(Cu), lithium(Li), and gallium(Ga). Copper ions(Cu^(2+)) can eradicate biofilms and antibiotic-resistant bacteria by extracting electrons from the cellular structure. Silver ion(Ag^(+)) kills bacteria by creating bonds with the thiol group. Gallium ion(Ga^(3+)) inhibits ferric ion(Fe^(3+)) absorption, leading to nutrient deficiency and bacterial death. Nanoparticles and reactive oxygen species(ROS) can penetrate bacteria cell walls directly, develop bonds with receptors, and damage nucleotides. Antibacterial action depends on the alkali nature of metal ions and their degradation rate, which often causes cytotoxicity in living cells. Therefore, this review emphasizes the insight into degradation rate, antibacterial mechanism, and their consequent cytotoxicity and observes the correlation between antibacterial performance and oxidation number of metal ions.

关键词： Biodegradable materials Biomedical implants Antibacterial mechanism Cytotoxicity Reactive oxygen species

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Prognostic significance of peritoneal metastasis from colorectal cancer treated with first-line triplet chemotherapy

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World Journal of Clinical Cases 2022年第8期10卷 2429-2438页

作者： Shouki Bazarbashi Abdulrahman Alghabban Mohamed Aseafan ali H Aljubran ahmed Alzahrani Tusneem AM Elhassan Oncology Center King Faisal Specialist Hospital&Research CenterRiyadh 11211RiyadhSaudi Arabia

BACKGROUND Peritoneal metastasis from colorectal cancer(CRC)carries a poor prognosis in most *** majority of those studies used either a single-agent or doublet chemotherapy regimen in the first-line *** To investigate the prognostic significance of peritoneal metastasis in a cohort of patients treated with triplet chemotherapy in the first-line *** We retrospectively evaluated progression-free survival(PFS)and overall survival(OS)in 51 patients with metastatic CRC treated in a prospective clinical trial with capecitabine,oxaliplatin,irinotecan,and bevacizumab in the first-line setting according to the presence and absence of peritoneal ***,univariate and multivariate analyses for PFS and OS were performed to assess the prognostic significance of peritoneal metastasis at the multivariate *** Fifty-one patients were treated with the above triplet *** had peritoneal *** patient characteristics of both groups showed a significant difference in the sidedness of the primary tumor(left-sided primary tumor in 60%of the peritoneal group vs 86%in the nonperitoneal group,P=0.03)and the presence of liver metastasis(40%for the peritoneal group vs 75%for the nonperitoneal group,P=0.01).Univariate analysis for PFS showed a statistically significant difference for age less than 65 years(P=0.034),presence of liver metastasis(P=0.046),lung metastasis(P=0.011),and those who underwent metastasectomy(P=0.001).Only liver metastasis and metastasectomy were statistically significant for OS,with P values of 0.001 and 0.002,*** analysis showed that age(less than 65 years)and metastasectomy were statistically significant for PFS,with P values of 0.002 and 0.001,*** the other hand,the absence of liver metastasis and metastasectomy were statistically significant for OS,with P values of 0.003 and 0.005,*** Peritoneal metastasis in patients with metastatic CRC tre

关键词： Colorectal cancer Peritoneal carcinomatosis Triplet chemotherapy Survival Prognostic factors Metastasectomy

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Hereditary hemochromatosis:Temporal trends,sociodemographic characteristics,and independent risk factor of hepatocellular cancer–nationwide population-based study

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World Journal of Hepatology 2022年第9期14卷 1804-1816页

作者： Maryam Bilal Haider ali Al Sbihi ahmed Jamal Chaudhary Syed M Haider ahmed Iqbal Edhi Department of Internal Medicine Detroit Medical CenterWayne State UniversitySinai Grace HospitalDetroitMI 48235United States System Science Binghamton UniversityBinghamtonNY 13902United States Department of Gastroenterology William Beaumont HospitalRoyal OakMI 48073United States

BACKGROUND Hereditary hemochromatosis(HH)has an increased risk of hepatocellular cancer(HCC)both due to genetic risks and iron overload as iron overload can be carcinogenic;HH impacts the increasing risk of HCC,not only through the development of cirrhosis but concerning hepatic iron deposition,which has been studied further *** To evaluate HH yearly trends,patient demographics,symptoms,comorbidities,and hospital *** secondary aim sheds light on the risk of iron overload for developing HCC in HH patients,independent of liver cirrhosis *** study investigated HH(without cirrhosis)as an independent risk factor for *** We analyzed data from National Inpatient Sample(NIS)Database,the largest national inpatient data collection in the United States,and selected HH and HCC *** was first defined in 2011 International Classification of Disease-9th edition(ICD-9)as a separate diagnosis;the HH cohort is extracted from January 2011 to December 2019 using 275.01(ICD-9)and E83.110(ICD-10)diagnosis codes of *** were excluded from the HH cohort if they had a primary or secondary diagnostic code of cirrhosis(alcoholic,non-alcoholic,and biliary),viralhepatitis,alcoholic liver disease,non-alcoholic fatty liver disease(NAFLD),and non-alcoholic steatohepatitis(NASH).We removed these patients from the HH cohort to rule out bias or ICD-10 diagnostic *** HCC cohort is selected from January 2011 to December 2019 using the ICD-9 and ICD-10 codes of *** selected a non-HCC cohort with the 1:1 fixed ratio nearest neighbor(greedy)propensity score method using the patients'age,gender,and *** performed multivariate analysis for the risk factors of HCC in the HCC and non-HCC matched *** further analyzed HH without cirrhosis(removing HH patients with a diagnosis of cirrhosis)as an independent risk factor of HCC after adjusting all known risk factors of HCC in the multivariate *** During the 2011-2019 period,a total o

关键词： Hereditary hemochromatosis Hepatocellular carcinoma,cirrhosis Hepatitis Diabetes mellitus Nonalcoholic fatty liver disease Nonalcoholic steatohepatitis Wilson disease Alpha1-antitrypsin deficiency Blood transfusion Epidemiology Demographics Big data Hospitalization

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Structure Preserving Algorithm for Fractional Order Mathematical Model of COVID-19

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Computers, Materials & Continua 2022年第5期71卷 2141-2157页

作者： Zafar Iqbal Muhammad Aziz-ur Rehman Nauman ahmed ali Raza Muhammad Rafiq Ilyas Khan Kottakkaran Sooppy Nisar Department of Mathematics University of Management and TechnologyLahorePakistan Department of Mathematics and Statistics The University of LahoreLahorePakistan Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityIslamabad44000Pakistan Department of Mathematics National College of Business Administration and EconomicsLahorePakistan Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahore54500Pakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam Bin Abdulaziz UniversityAlkharj11991Kingdom of Saudi Arabia

In this article,a brief biological structure and some basic properties of COVID-19 are described.A classical integer order model is modified and converted into a fractional order model withξas order of the fractional ***,a valued structure preserving the numerical design,coined as Grunwald–Letnikov non-standard finite difference scheme,is developed for the fractional COVID-19 *** into account the importance of the positivity and boundedness of the state variables,some productive results have been proved to ensure these essential *** of the model at a corona free and a corona existing equilibrium points is investigated on the basis of Eigen *** Routh–Hurwitz criterion is applied for the local stability *** appropriate example with fitted and estimated set of parametric values is presented for the *** solutions are displayed for the chosen values ofξ(fractional order of the derivatives).The role of quarantined policy is also determined gradually to highlight its significance and relevancy in controlling infectious *** the end,outcomes of the study are presented.

关键词： Coronavirus pandemic model deterministic ordinary differential equations numerical methods convergence analysis

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Detection of Left Ventricular Cavity from Cardiac MRI Images Using Faster R-CNN

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Computers, Materials & Continua 2023年第1期74卷 1819-1835页

作者： Zakarya Farea Shaaf Muhammad Mahadi Abdul Jamil Radzi Ambar ahmed Abdu Alattab Anwar ali Yahya Yousef Asiri Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn MalaysiaParit RajaBatu Pahat86400JohorMalaysia Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajran61441Saudi Arabia Department of Computer Science Faculty of Computer Science and Info.SystemsThamar UniversityDhamar87246Yemen Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

The automatic localization of the left ventricle(LV)in short-axis magnetic resonance(MR)images is a required step to process cardiac images using convolutional neural networks for the extraction of a region of interest(ROI).The precise extraction of the LV’s ROI from cardiac MRI images is crucial for detecting heart disorders via cardiac segmentation or ***,this task appears to be intricate due to the diversities in the size and shape of the LV and the scattering of surrounding tissues across different ***,this study proposed a region-based convolutional network(Faster R-CNN)for the LV localization from short-axis cardiac MRI images using a region proposal network(RPN)integrated with deep feature classification and *** was trained using images with corresponding bounding boxes(labels)around the LV,and various experiments were applied to select the appropriate layers and set the suitable *** experimental findings showthat the proposed modelwas adequate,with accuracy,precision,recall,and F1 score values of 0.91,0.94,0.95,and 0.95,*** model also allows the cropping of the detected area of LV,which is vital in reducing the computational cost and time during segmentation and classification ***,itwould be an ideal model and clinically applicable for diagnosing cardiac diseases.

关键词： Cardiac short-axis MRI images automatic left ventricle localization deep learning models faster R-CNN

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