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Enhancing Skin Cancer Diagnosis with Deep Learning:A Hybrid CNN-RNN Approach

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Computers, Materials & Continua 2024年第4期79卷 1497-1519页

作者： syeda Shamaila Zareen Guangmin Sun Mahwish Kundi syed Furqan qadri Salman qadri Faculty of Information Technology Beijing University of TechnologyBeijing100124China Computer Science International Engineering Collage Maynooth UniversityKildareW23 F2H6Irland Research Center for Data Hub and Security Zhejiang LabHangzhou311121China Computer Science Department MNS University of AgricultureMultan59220Pakistan

Skin cancer diagnosis is difficult due to lesion presentation variability. Conventionalmethods struggle to manuallyextract features and capture lesions spatial and temporal variations. This study introduces a deep learning-basedConvolutional and Recurrent Neural Network (CNN-RNN) model with a ResNet-50 architecture which usedas the feature extractor to enhance skin cancer classification. Leveraging synergistic spatial feature extractionand temporal sequence learning, the model demonstrates robust performance on a dataset of 9000 skin lesionphotos from nine cancer types. Using pre-trained ResNet-50 for spatial data extraction and Long Short-TermMemory (LSTM) for temporal dependencies, the model achieves a high average recognition accuracy, surpassingprevious methods. The comprehensive evaluation, including accuracy, precision, recall, and F1-score, underscoresthe model’s competence in categorizing skin cancer types. This research contributes a sophisticated model andvaluable guidance for deep learning-based diagnostics, also this model excels in overcoming spatial and temporalcomplexities, offering a sophisticated solution for dermatological diagnostics research.

关键词： Skin cancer classification deep learning Convolutional Neural Network(CNN) RNN ResNet-50

How Does COVID-19 Affect Demographic,Administrative,and Social Economic Domain?Empirical Evidence from an Emerging Economy

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International Journal of Mental Health Promotion 2022年第5期24卷 635-648页

作者： Safwan qadri Shixiang Chen syed Usman qadri School of Political Science and Public Administration Local Government Public Service Innovation Research CenterWuhan UniversityWuhan430072China Department of Management Science Time InstituteMultan60650Pakistan

Worldwide,the COVID-19 pandemic has had a signiﬁcant impact on social and economic conditions as well as mental and physical *** is considered in high ranks on Uncertainty Avoidance Index(UAI).The peo-ple of Pakistan have already faced numerous obstacles in terms of food and housing *** security,inﬂated prices of food items,andﬁnancial distress are the foremost vital challenges of Pakistan’s people during the *** study examines the people’s perception of social,economic,and psychological impact and explores the causes and trends of spreading the COVID-19 pandemic in Pakistan.A primary survey method was conducted to collect the data from all Punjab divisions via questionnaire,and 471 respondents wereﬁnally selected for data *** data collection instrument was a questionnaire,and the data analysis tool was ***,analysts,business professionals,economists,business faculty staff,and civil society are the study’s ***ﬁndings show that the overall social and economic life has been affected(82%of respondents agree)by the COVID-19 pandemic.60.5%of respondents manage their spending through salary(mean value=4.45),while 45%use savings(mean value=4.25).Moreover,Government support(mean value=3.95)plays a vital role in managing expenditure in this COVID-19 outbreak in ***,this study conﬁrms that the lock-down implementation measure(mean value=2.20)is not considered useful in reducing COVID-19 due to Pakistan’sﬁnancial and economic *** study concluded the social distance and testing measures are vital tools in reducing the COVID-19 pandemic in ***,the study established that micro-smart lockdown,increased COVID-19 testing kits,and adequate medical equipment in the Hospital of Pakistan are the key mechanism to control the ***,this study recommends that thorough long-term plan-ning be undertaken to mitigate the pandemic’s worst effects and develop a comprehensiv

关键词： COVID-19 health socioeconomic socio-demographic uncertainty avoidance index micro-smart lockdown

Integration of 1D and 3D modeling schemes to establish the Farewell Formation as a self-sourced reservoir in Kupe Field,Taranaki Basin, New Zealand

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Frontiers of Earth Science 2021年第3期15卷 631-648页

作者： S.M.Talha qadri Md Aminul ISLAM Mohamad Ragab SHALABY syed Haroon ALI Department of Earth Sciences University of Toronto Geosciences Program Faculty of Science Universiti Brunei Darussalam Geology Department Faculty of Science Tanta University Department of Earth Sciences University of Sargodha

Along with conventional methods, this paper proposed a method in which 1 D and 3 D models are integrated to identify the self-sourced reservoir potential of the Farewell Formation in the Kupe Gas Field within the Taranaki Basin, New Zealand. Source rock characteristics were evaluated at both field and basin scales by investigating source rock maturity, type of organic matter,and hydrocarbon generation potential by rock pyrolysis,using Rock-Eval 2 and 6. The 1 D thermal and burial history model established the rate of sedimentation and thermal history of the Kupe 4 well. Reservoir characterization at field-scale was determined by seismic interpretation, well log analysis, and 3 D structural and petrophysical models. The sediments of the Farewell Formation contain types II-III（oil/gas prone） and type III（gas prone） and have fair-to-excellent generation potential. The oxygen and hydrogen indices ranged from 3 to 476 mg CO2/g TOC and 26 to 356 mg HC/g TOC, respectively, whereas the thermal maturity determined by vitrinite reflectance values ranged between 0.3% and 0.72%, indicating that the Farewell Formation is in immature-to-mature hydrocarbon generation stage. Thus, Farewell Formation was verified to be a good source rock. Additionally, structural interpretations demonstrated the structural complexity of an extensional and contractional regime within the reservoir package. Multiple faults indicated a good reservoir property there with a trapping mechanism as well as migration paths. A well-log-based petrophysical analysis established the presence of up to 70% hydrocarbon saturation within the pore spaces of Farewell *** 3 D models confirmed that the Farewell Formation has significant sand zones and hydrocarbon-saturated zones,thereby proving its very good reservoir characteristics. It has been proved that the 1 D and 3 D structural schemes,integrated with geological techniques, was vital in identifying the Kupe Field as a self-sourced reservoir.

关键词： self-sourced reservoir Kupe Field Farewell Formation Taranaki Basin

Analysis of genetic relationship in mutant silkworm strains of Bom-byx mori using inter simple sequence repeat (ISSR) markers

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Journal of Genetics and Genomics 2008年第5期35卷 291-297页

作者： Dhanikachalam Velu Kangayam M. Ponnuvel Murugiah Muthulakshmi Randhir K. Sinha syed M.H. qadri Biotechnology Laboratory Central Sericultural Germplasm Resources Centre Hosur-635109 Tamil Nadu India

Amplified inter simple sequence repeats （ISSR） markers were used to determine genetic relationships among mutant silkworm strains of Bombyx mori. Fifteen ISSR primers containing simple sequence repeat （SSR） motifs were used in this study. A total of 113 markers were produced among 20 mutant strains, of which 73.45% were found to be polymorphic. In selected mutant genetic stocks, the average number of observed allele was （1.7080 ± 0.4567）, effective alleles （1.5194 ± 0.3950） and genetic diversity （Ht）（0.2901 ± 0.0415）. The dendrogram produced using the unweighted pair group method with arithmetic means （UPGMA） and cluster analysis made using Nei＇s genetic distance resulted in the formation of one major group containing 6 groups separated 20 mutant silkworm strains. Therefore, ISSR amplification is a valuable method for determining the genetic variability among mutant silkworm strains. This efficient molecular marker would be useful for characterizing a considerable number of silkworm strains maintained at the germplasm center.

关键词： genetic diversity Bombyx mori mutant strains ISSR

Fabrication and Characterization of PLD-Grown Bismuth Telluride (Bi2Te3) and Antimony Telluride (Sb2Te3) Thermoelectric Devices

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Journal of Electronics Cooling and Thermal Control 2017年第3期7卷 63-77页

作者： Ibrahim M.Abdel-Motaleb syed M.qadri Department of Electrical Engineering Northern Illinois UniversityDeKalbILUSA

We report on the fabrication and characterization of multi-leg bismuth telluride (Bi2Te3) and antimony telluride (Sb2Te3) thermoelectric devices. The two materials were deposited, on top of SiO2/Si substrates, using Pulsed Laser Deposition (PLD). The SiO2 layer was used to provide insulation between the devices and the Si wafer. Copper was used as an electrical connector and a contact for the junctions. Four devices were built, where the Bi2Te3 and Sb2Te3 were deposited at substrate temperatures of 100°C, 200°C, 300°C and 400°C. The results show that the device has a voltage sensitivity of up to 146 μV/K and temperature sensitivity of 6.8 K/mV.

关键词： Thermoelectric Devices Bismuth Telluride Bi2Te3 Antimony Telluride Sb2Te3 Pulsed Laser Deposition PLD Seebeck Effect

Multi-Physics Numerical Simulation of Thermoelectric Devices

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Journal of Electronics Cooling and Thermal Control 2017年第4期7卷 123-135页

作者： Ibrahim M. Abdel-Motaleb syed M. qadri Department of Electrical Engineering Northern Illinois University DeKalb IL USA

To optimize the performance of a thermoelectric device for a specific application, the device should be uniquely designed for the application. Achieving an optimum design requires accurate measurements and credible analysis to evaluate the performance of the device and its relationship with the device parameters. To do that, we designed, fabricated, and tested four devices based on Bi2Te3 and Sb2Te3. To evaluate the accuracy of our analysis, experimental measurements were compared with the numerical simulation performed using COMSOLTM. The two sets of results were found to be in full agreement. This is a proof of the accuracy of our experimental measurements and the credibility of our simulation. The study shows that testing or simulating the devices without heat sink will lead to skewed results. This is because the junction will not hold its temperatures value, but will, instead, automatically change its value to the direction of thermal equilibrium. The study shows also that there is no reciprocity between the input and the output characteristics of the devices. Therefore, a device optimized for cooling and heating may not be automatically optimized for energy harvesting. For heating and cooling, temperature sensitivity should be optimized;while for energy harvesting, voltage sensitivity should be optimized. Using heat sink, our devices achieved a voltage sensitivity of 187.77 μV/K and a temperature sensitivity of 6.12 K/mV.

关键词： Thermoelectric Devices Multi-Leg Devices Bi2Te3 Sb2Te3 COMSOL Fi-nite Element Simulation Voltage Sensitivity Temperature Sensitivity

Cartesian Product Based Transfer Learning Implementation for Brain Tumor Classification

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Computers, Materials & Continua 2022年第11期73卷 4369-4392页

作者： Irfan Ahmed Usmani Muhammad Tahir qadri Razia Zia Asif Aziz Farheen Saeed Electronic Engineering Department Sir Syed University of Engineering&TechnologyKarachi75300Pakistan Department of Computer Science Bahria University Karachi CampusKarachi75260Pakistan Christus Trinity Clinic TexasUSA

Knowledge-based transfer learning techniques have shown good performance for brain tumor classification,especially with small ***,to obtain an optimized model for targeted brain tumor classification,it is challenging to select a pre-trained deep learning(DL)model,optimal values of hyperparameters,and optimization algorithm(solver).This paper first presents a brief review of recent literature related to brain tumor ***,a robust framework for implementing the transfer learning technique is *** the proposed framework,a Cartesian product matrix is generated to determine the optimal values of the two important hyperparameters:batch size and learning *** extensive exercise consisting of 435 simulations for 11 state-of-the-art pre-trained DL models was performed using 16 paired hyperparameters from the Cartesian product matrix to input the model with the three most popular solvers(stochastic gradient descent with momentum(SGDM),adaptive moment estimation(ADAM),and root mean squared propagation(RMSProp)).The 16 pairs were formed using individual hyperparameter values taken from literature,which generally addressed only one hyperparameter for optimization,rather than making a grid for a particular *** proposed framework was assessed using a multi-class publicly available dataset consisting of glioma,meningioma,and pituitary *** assessment shows that ResNet18 outperforms all other models in terms of accuracy,precision,specificity,and recall(sensitivity).The results are also compared with existing state-of-the-art research work that used the same *** comparison was mainly based on performance metric“accuracy”with support of three other parameters“precision,”“recall,”and“specificity.”The comparison shows that the transfer learning technique,implemented through our proposed framework for brain tumor classification,outperformed all existing *** the best of our knowledge,the proposed framework is a

关键词： Deep transfer learning Cartesian product hyperparameter optimization magnetic resonance imaging(MRI) brain tumor classification

Characterization of optimal resting tension in human pulmonary arteries

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World Journal of Cardiology 2016年第9期8卷 553-558页

作者： Azar Hussain Robert T Bennett Mubarak A Chaudhry syed S qadri Mike Cowen Alyn H Morice Mahmoud Loubani Department of Cardiothoracic Surgery Castle Hill Hospital Centre for Cardiovascular and Metabolic Research Hull York Medical SchoolCastle Hill Hospital

AIM To determine the optimum resting tension(ORT) for in vitro human pulmonary artery(PA) ring *** Pulmonary arteries were dissected from disease free sections of the resected lung in the operating theatre and tissue samples were directly sent to the laboratory in Krebs-Henseleit solution(Krebs).The pulmonary arteries were then cut into 2 mm long *** rings were mounted in 25 m L organ baths or 8 m L myograph chambers containing Krebs compound(37 ℃,bubbled with 21% O_2:5% CO_2) to measure changes in isometric *** resting tension was set at 1-gram force(gf) with vessels being left static to equilibrate for duration of one *** contractile reactions to 40 mmol/L KCl were obtained from a resting tension of 1 *** reactions to 40 mmol/L KCl were then obtained from stepwise increases in resting tension(1.2,1.4,1.6,1.8 and 2.0 gf).RESULTS Twenty PA rings of internal diameter between 2-4 mmwere prepared from 4 *** human PA rings incrementing the tension during rest stance by 0.6 gf,up to 1.6 gf significantly augmented the 40 mmol/L KCl stimulated *** enhancement of active tension by 0.4 gf,up to 2.0 gf mitigate the 40 mmol/L KCl stimulated *** Myograph and the organ bath demonstrated identical conclusions,supporting that the radial optimal resting tension for human PA ring was 1.61 *** The radial optimal resting tension in our experiment is 1.61 gf(15.78 m N) for human PA rings.

关键词： Pulmonary hypertension Pulmonary artery Optimal resting tension Pulmonary artery rings Human

Deposition of In2-xFexO3 Films by Ultrafast Microwave Heating Technique

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材料科学与工程（中英文A版） 2011年第6期1卷 869-871页

作者： syed B. qadri Charbel Fahed Nadeemullah A. Mahadik Heungsoo Kim Michael Osofsky Mulpuri V.Rao US Naval Research Laboratory Washington DC 20375 NRC/NRL Postoctoral Fellow Electrical and Computer Engineering George Mason University Fairfax Virginia 22030

In this paper, we present an ultra fast deposition of oxide films using microwave heating. Using SiC as a susceptor, InFeO powder was placed on top of it in a microwave heating chamber. By heating the SiC substrate to 2,100 °C using microwaves and within 3-4 seconds, the InFeO film was deposited on Si substrate placed right at the top of the chamber. The X-ray diffraction scans taken of the target and the film indicated a one-to-one correspondence with the target material and the deposited film in terms of stoichiometry.

关键词：微波加热技术氧化物薄膜快速沉积 X-射线衍射 Si衬底化学计量学薄膜沉积一一对应