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IRMIRS:Inception-ResNet-Based Network for MRI Image Super-Resolution

Computer Modeling in Engineering & Sciences 2023年第8期136卷 1121-1142页

作者： Wazir muhammad Zuhaibuddin Bhutto Salman Masroor Murtaza Hussain Shaikh jalal Shah Ayaz Hussain Department of Electrical Engineering Balochistan University of Engineering and TechnologyKhuzdar89100Pakistan Department of Computer Systems Engineering Balochistan University of Engineering and TechnologyKhuzdar89100Pakistan Department of Mechanical Engineering Balochistan University of Engineering and TechnologyKhuzdar89100Pakistan Department of Mechanical Engineering National Taiwan University of Science and Technology10607Taiwan Department of Information Systems Kyungsung UniversityBusan613010South Korea

Medical image super-resolution is a fundamental challenge due to absorption and scattering in *** challenges are increasing the interest in the quality of medical *** research has proven that the rapid progress in convolutional neural networks(CNNs)has achieved superior performance in the area of medical image ***,the traditional CNN approaches use interpolation techniques as a preprocessing stage to enlarge low-resolution magnetic resonance(MR)images,adding extra noise in the models and more memory ***,conventional deep CNN approaches used layers in series-wise connection to create the deeper mode,because this later end layer cannot receive complete information and work as a dead *** this paper,we propose Inception-ResNet-based Network for MRI Image Super-Resolution known as *** our proposed approach,a bicubic interpolation is replaced with a deconvolution layer to learn the upsampling ***,a residual skip connection with the Inception block is used to reconstruct a high-resolution output image from a low-quality input *** and qualitative evaluations of the proposed method are supported through extensive experiments in reconstructing sharper and clean texture details as compared to the state-of-the-art methods.

关键词： Super-resolution magnetic resonance imaging ResNet block inception block convolutional neural network deconvolution layer

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A 37 GHz Millimeter-Wave Antenna Array for 5G Communication Terminals

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Computers, Materials & Continua 2023年第4期75卷 1317-1330页

作者： jalal Khan Sadiq Ullah Usman Ali Ladislau Matekovits Farooq Ahmad Tahir muhammad Inam Abbasi Telecommunication Engineering Department University of Engineering and TechnologyMardan23200Pakistan Department of Electronics and Telecommunications Politecnico di TorinoTurin10129Italy Istituto di Elettronica e di Ingegneria Dell’Informazione e Delle Telecomunicazioni National Research Council of ItalyTurin10129Italy Department of Measurements and Optical Electronics Politehnica University TimisoaraTimisoara300006Romania Research Institute for Microwave and Millimeter-Wave Studies(RIMMS) National University of Sciences and Technology(NUST)Islamabad44000Pakistan Department of Electronics and Computer Engineering Technology(JTKEK) Faculty of Electrical and Electronic Engineering Technology(FTKEE)Universiti Teknikal Malaysia Melaka(UTeM)Hang Tuah JayaDurian TunggalMelaka76100Malaysia

This work presents,design and specific absorption rate(SAR)analysis of a 37GHz antenna,for 5th Generation(5G)*** proposed antenna comprises of 4-elements of rectangular patch and an even *** radiating element is composed of copper material supported by Rogers RT5880 substrate of thickness,0.254 mm,dielectric constant(εr),2.2,and loss tangent,*** 4-elements array antenna is compact in size with a dimension of 8mm×20mm in length and *** radiating patch is excited with a 50 ohms connector i.e.,*** antenna resonates in the frequency band of 37 GHz,that covers the 5G *** antenna behavior is studied both in free space and in the proximity of the human *** models of the human body,i.e.,belly,hand,and head(contain skin,fat,muscles,and bone)are considered for on-body *** resonant frequency,the antenna gives a boresight gain of 11.6 *** antenna radiates efficiently with a radiated efficiency of more than 90%.Also,it is observed that the antenna detunes to the lowest in the proximity of the human body,but still a good impedance matching is achieved considering the−10 dB ***,SAR is also being *** safe limit of 2 W/kg for any 10 g of biological tissue,specified by the European International Electro Technical Commission(IEC)has been *** calculated values of SAR for human body models,i.e.,belly,hand and head are 1.82,1.81 and 1.09 W/kg,*** SAR values are less than the international recommendations for the three ***,the simulated and measured results of the antenna are in close agreement,which makes it,a potential candidate for the fifth-generation smart phones and other handheld devices.

关键词： 5G antenna array SAR millimeter-wave smart phones

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Home Automation-Based Health Assessment Along Gesture Recognition via Inertial Sensors

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Computers, Materials & Continua 2023年第4期75卷 2331-2346页

作者： Hammad Rustam muhammad Muneeb Suliman A.Alsuhibany Yazeed Yasin Ghadi Tamara Al Shloul Ahmad jalal Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science and Software Engineering Al Ain UniversityAl Ain15551UAE Department of Humanities and Social Science Al Ain UniversityAl Ain15551UAE Department of Computer Engineering Korea Polytechnic University237 Sangidaehak-ro Siheung-siGyeonggi-do15073Korea

Hand gesture recognition (HGR) is used in a numerous applications,including medical health-care, industrial purpose and sports *** have developed a real-time hand gesture recognition system using inertialsensors for the smart home application. Developing such a model facilitatesthe medical health field (elders or disabled ones). Home automation has alsobeen proven to be a tremendous benefit for the elderly and disabled. Residentsare admitted to smart homes for comfort, luxury, improved quality of life,and protection against intrusion and burglars. This paper proposes a novelsystem that uses principal component analysis, linear discrimination analysisfeature extraction, and random forest as a classifier to *** have achieved an accuracy of 94% over the publicly benchmarked HGRdataset. The proposed system can be used to detect hand gestures in thehealthcare industry as well as in the industrial and educational sectors.

关键词： Genetic algorithm human locomotion activity recognition human–computer interaction human gestures recognition principal hand gestures recognition inertial sensors principal component analysis linear discriminant analysis stochastic neighbor embedding

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Intelligent Sign Language Recognition System for E-Learning Context

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Computers, Materials & Continua 2022年第9期72卷 5327-5343页

作者： muhammad Jamil Hussain Ahmad Shaoor Suliman A.Alsuhibany Yazeed Yasin Ghadi Tamara al Shloul Ahmad jalal Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science and Software Engineering Al Ain UniversityAl Ain15551UAE Department of Humanities and Social Science Al Ain UniversityAl Ain15551UAE Department of Computer Engineering Korea Polytechnic UniversitySiheung-si237Gyeonggi-doKorea

In this research work,an efficient sign language recognition tool for e-learning has been proposed with a new type of feature set based on angle and *** feature set has the ability to increase the overall performance of machine learning algorithms in an efficient *** hand gesture recognition based on these features has been implemented for usage in *** feature set used hand landmarks,which were generated using media-pipe(MediaPipe)and open computer vision(openCV)on each frame of the incoming *** overall algorithm has been tested on two well-known ASLalphabet(American Sign Language)and ISL-HS(Irish Sign Language)sign language *** machine learning classifiers including random forest,decision tree,and naïve Bayesian have been used to classify hand gestures using this unique feature set and their respective results have been *** the random forest classifier performed better,it has been selected as the base classifier for the proposed *** showed 96.7%accuracy with ISL-HS and 93.7%accuracy with ASL-alphabet dataset using the extracted features.

关键词： Decision tree feature extraction hand gesture recognition landmarks machine learning palm detection

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Development of Non-ABO Red Blood Cell Alloantibodies in Patient Undergoing Allogeneic Haematopoietic Stem Cell Transplant

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Case Reports in Clinical Medicine 2024年第5期13卷 162-170页

作者： Ahmed Alsuhaibani Khalid Batarfi Ahmed Alharbi Haya Alwasel Abdullah Alenazi Abdulmohsen Alotaibi jalal Hassan Rayyan Alotaibi Hajer Aziz Nourah Alharethi Sara Alobaidi Maram Alonayzan Sanad Alharthi Majd Alanazi Sarah Alotaibi Ahmed Shareefi Bandar Alqahtani Department of Laboratory and Pathology King Abdulaziz Medical City of National Guard Riyadh Saudi Arabia

Alloantibodies that are non ABO Alloimmunization to protein antigens happens only after exposure, in contrast to ABO isohaemagglutinins, which are present naturally, even in the absence of prior exposure. It is recognized that while non-ABO RBC antibodies are less common than ABO antibodies, they generate essentially the same issues that lead to unfavorable clinical results. If non-ABO alloantibodies are identified early on, these issues related complications may be avoided This call for an in-depth understanding of the recipient and donor’s ABO-Rh grouping, antibody screening, and the phenotype of certain antigens. Equally important, the temporal association time between transplantation and hemolysis can help identify the underlying mechanism of hemolysis and direct appropriate management. Therefore, for that, it is crucial to identify the etiology of post-HSCT anemia for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HSCT and the temporal link between HSCT and anemia. Finding the cause of post-HSCT anemia is essential for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HSCT and the temporal link between HSCT and anemia. Therefore, for that, it is crucial to identify the etiology of post-HSCT anemia. In this case report review, we would like to highlight the vital role of transfusion medicine services and stem cell clinical teams in paying particular attention to the clinical significance of non-ABO alloantibodies involved to avoid causing overt hemolysis of incompatible donor RBCs or delayed erythropoiesis. Considering the fact that some of the Haematopoietic stem cell transplant centers do not give an attention to the other non-ABO RBC antigens.

关键词： Haematopoietic Stem Cell Transplant (HSCT) Non-ABO Red Blood Cell Antibodies Alloantibodies

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Regularity classification and corresponding analysis method requirements of horizontally curved bridges with unequal pier heights

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Earthquake Engineering and Engineering Vibration 2023年第2期22卷 549-571页

作者： Mohammad jalal Maleki-amin Shahrokh Maalek School of Civil Engineering Tehran UniversityTehran 11155-4563Iran Iranian Bridge Engineering Association Tehran 36481684Iran

The seismic behavior of horizontally curved bridges,particularly with unequal height piers,is more complicated than that of straight bridges due to their geometric *** this study,the seismic responses of several horizontally curved single-column-bent viaducts with various degrees of curvature and different pier heights have been investigated,employing three different analysis approaches:namely,modal pushover analysis,uniform load method,and nonlinear time history *** the investigated bridge configurations and utilizing the most common regularity indices,the results indicate that viaducts with 45-degree and 90-degree deck subtended angles can be categorized as regular and moderately irregular,respectively,while the bridges with 180-degree deck subtended angle are found to be highly ***,the viaducts whose pier heights are asymmetric may be considered as irregular for almost all ranges of the deck subtended *** effects of higher transverse and longitudinal modes are discussed and the minimum analysis requirements are identified to assess the seismic response of such bridge configurations for design *** the Regularity Indices used here are useful tools to distinguish between regular and irregular bridges,further studies are needed to improve their reliability.

关键词： horizontally curved bridges unequal height piers pushover analysis regularity index seismic analysis and response

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Computer Forensics Framework for Efficient and Lawful Privacy-Preserved Investigation

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Computer Systems Science & Engineering 2023年第5期45卷 2071-2092页

作者： Waleed Halboob jalal Almuhtadi Center of Excellence in Information Assurance King Saud UniversityRiyadh11653Saudi Arabia College of Computer and Information Sciences King Saud UniversityRiyadh11451Saudi Arabia

Privacy preservation(PP)in Digital forensics(DF)is a conflicted and non-trivial *** solutions use the searchable encryption concept and,as a result,are not efficient and support only a keyword ***,the collected forensic data cannot be analyzed using existing well-known digital *** research paper first investigates the lawful requirements for PP in DF based on the organization for economic co-operation and development OECB)privacy *** have an efficient investigation process and meet the increased volume of data,the presented framework is designed based on the selective imaging concept and advanced encryption standard(AES).The proposed framework has two main modules,namely Selective Imaging Module(SIM)and Selective Analysis Module(SAM).The SIM and SAM modules are implemented based on advanced forensic format 4(AFF4)and SleuthKit open source forensics frameworks,respectively,and,accordingly,the proposed framework is evaluated in a forensically sound *** evaluation result is compared with other relevant works and,as a result,the proposed solution provides a privacy-preserving,efficient forensic imaging and analysis process while having also sufficient ***,the AFF4 forensic image,produced by the SIM module,can be analyzed not only by SAM,but also by other well-known analysis tools available on the market.

关键词： Digital forensics digital evidence AFF4 privacy preservation selective imaging

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Embedding amorphous MoS_(x)within hierarchical porous carbon by facile one-pot synthesis for superior sodium ion storage

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Journal of Energy Chemistry 2022年第12期75卷 240-249,I0006页

作者： jalal Rahmatinejad Xudong Liu Ximeng Zhang Bahareh Raisi Zhibin Ye Department of Chemical and Materials Engineering Concordia UniversityMontrealQuebec H3G 1M8Canada

The design of anode materials with a high specific capacity,high cyclic stability,and superior rate performance is required for the practical applications of sodium-ion batteries(SIBs).In this regard,we introduce in this work a facile,low-cost and scalable method for the synthesis of nanocomposites of amorphous molybdenum sulfide(a-MoS_(x))and hierarchical porous carbon and have systematically investigated their performance for sodium ion *** the synthesis,ammonium molybdate tetrahydrate and thioacetamide are used as molybdenum and sulfur sources,respectively,with abundant corn starch as the carbon source and KOH as an activation agent.A simple pyrolysis of their mixtures leads to the formation of nanocomposites with a-MoS_(x)embedded within a hierarchical porous carbon(MoS_(x)@HPC),which are featured with a high surface area of up to 518.4 m^(2) g^(-1)and hierarchical pores ranging from micropores to *** has also been shown that the annealing of MoS_(x)@HPC results in the formation of crystalline MoS_(2)nanosheets anchored in the hierarchical porous carbon matrix(MoS_(2)@HPC).The as-prepared nanocomposite MoS_(x)@HPC1 at an optimum carbon content of 32 wt%delivers a high specific sodium storage capacity of 599 mAh g^(-1)at 0.2 A g^(-1)and a high-rate performa nce with a retained capacity of 289 mAh g^(-1)at 5 A g^(-1).A comparison of the electrochemical performances of MoS_(x)@HPC and MoS_(2)@HPC demonstrates the superior specific capacity,rate performance,and charge transfer kinetics of the former,highlighting the unique advantageous role of amorphous MoS_(x)relative to crystalline MoS_(2).

关键词： MoS_(x) Anode Sodium-ion battery Porous carbon Sodium ion storage

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Mental Health Consequences among Sudanese Due to the Armed Conflicts and Civil Unrest of 2023: One Year Later

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Journal of Biosciences and Medicines 2024年第4期12卷 21-37页

作者： Sahar Moawia Balla Elnour Nahla Yousif Osman Mohammed Saeed Awadia Babiker Mohammed Osman Abeer Alawad Hassan Eman Mohamed Nour Hamad Alneel Mustafa Rowa Abdelmonem Sidig Hamato Malaz Mohamed Khair Alsafi Mohamed Amna Alnaim Mohamed Ahmed Osman Awab Abdelbagi Mustafa Ahmed jalal Abdelrasool Hassan Eltaib Department of Family Medicine Health Gates Riyadh Saudi Arabia Family Medicine Department Ultracare Home Health Care Riyadh Saudi Arabia Psychiatic Department Erada Hospital and Mental Health Alkharj Saudi Arabia Family Medicine Department Ahmed Gasim Diabetic Center Portsudan Sudan QCHP Qatar Qatar Primary Care Najran Health Cluster Najran Saudi Arabia Emergency Department Best Care Hospital Khartoum Sudan Family Medicine Department Mouwasat Hospital Khobar Saudi Arabia

Aim: To investigate depression, anxiety, PTSD, and insomnia levels among Sudanese citizens after a year has passed since the start of Armed Forces conflict in Sudan. Methods: An online survey was distributed. It is composed of five parts, covering the following areas: 1) sociodemographic data;2) depression assessment;3) generalized anxiety disorder assessment;4) post-traumatic stress disorder assessment;and 5) insomnia assessment. Statistical Package for Social Sciences version 27 was used for data analysis;frequency and percentage were used to describe the qualitative variables. Spearman’s correlation analysis and Chi-square test were used for correlation and association analysis;a P-value equal to or less than 0.05 was considered statistically significant. Results: The study included 283 participants, primarily female (76.0%), with a mean age of 35.26 ± 6.96 years. The majority of participants were married (50.5%) and had a university level of education (50.2%). At the start of the war, 70.3% of participants were inside the war zones, and at the time of data collection, 73.5% were outside Sudan. The length of stay in the war zone ranged from 1 to 300 days, with a mean of 48.59 ± 70.284 days. Additionally, 63.3% of participants stated that they did not receive any form of mental health intervention, and the remaining did not provide an answer. There was a high prevalence of moderate-severe depression (50.5%), moderate anxiety (35.3%), PTSD (56.5%), and sub-threshold insomnia (53.4%) among the participants. Correlation analyses revealed associations between demographic factors such as sex, age, marital status, and education and mental health issues. Notably, female participants showed a higher prevalence of PTSD (53.0%) compared to male participants (67.6%). Conclusions: There is a substantial impact of war-related trauma on mental health, revealing a high prevalence of moderate-severe depression, moderate anxiety, PTSD, and sub-threshold insomnia among the particip

关键词： Sudan War Conflict Mental Health

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Deep Learning Based Cyber Event Detection from Open-Source Re-Emerging Social Data

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Computers, Materials & Continua 2023年第8期76卷 1423-1438页

作者： Farah Mohammad Saad Al-Ahmadi jalal Al-Muhtadi Center of Excellence in Information Assurance(CoEIA) King Saud UniversityRiyadh11543Saudi Arabia College of Computer&Information Sciences King Saud UniversityRiyadh11543Saudi Arabia

Social media forums have emerged as the most popular form of communication in the modern technology era,allowing people to discuss and express their *** increases the amount of material being shared on social media *** is a wealth of information about the threat that may be found in such open data *** security of already-deployed software and systems relies heavily on the timely detection of newly-emerging threats to their safety that can be gleaned from such *** the fact that several models for detecting cybersecurity events have been presented,it remains challenging to extract security events from the vast amounts of unstructured text present in public data *** majority of the currently available methods concentrate on detecting events that have a high number of *** is because the unstructured text in open data sources typically contains a large number of ***,to react to attacks quicker than they can be launched,security analysts and information technology operators need to be aware of critical security events as soon as possible,regardless of how often they are *** research provides a unique event detection method that can swiftly identify significant security events from open forums such as *** proposed work identified new threats and the revival of an attack or related event,independent of the volume of mentions relating to those events on *** this research work,deep learning has been used to extract predictive features from open-source *** proposed model is composed of data collection,data transformation,feature extraction using deep learning,Latent Dirichlet Allocation(LDA)based medium-level cyber-event detection and final Google Trends-based high-level cyber-event *** proposed technique has been evaluated on numerous *** results show that the proposed method outperforms existing methods in detecting cyber events by giving 95.96

关键词： Social media twitter cyber events deep learning

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