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Acral melanoma detection using dermoscopic images and convolutional neural networks

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Visual Computing for Industry,Biomedicine,and Art 2021年第1期4卷 246-257页

作者： Qaiser Abbas Farheen Ramzan muhammad usman ghani Department of Computer Science University of Engineering and Technology54890 LahorePakistan

Acral melanoma(AM)is a rare and lethal type of skin *** can be diagnosed by expert dermatologists,using dermoscopic *** is challenging for dermatologists to diagnose melanoma because of the very minor differences between melanoma and non-melanoma *** of the research on skin cancer diagnosis is related to the binary classification of lesions into melanoma and ***,to date,limited research has been conducted on the classification of melanoma *** current study investigated the effectiveness of dermoscopy and deep learning in classifying melanoma subtypes,such as,*** this study,we present a novel deep learning model,developed to classify skin *** utilized a dermoscopic image dataset from the Yonsei University Health System South Korea for the classification of skin *** image processing and data augmentation techniques have been applied to develop a robust automated system for AM *** custombuilt model is a seven-layered deep convolutional network that was trained from ***,transfer learning was utilized to compare the performance of our model,where AlexNet and ResNet-18 were modified,fine-tuned,and trained on the same *** achieved improved results from our proposed model with an accuracy of more than 90%for AM and benign nevus,***,using the transfer learning approach,we achieved an average accuracy of nearly 97%,which is comparable to that of state-of-the-art *** our analysis and results,we found that our model performed well and was able to effectively classify skin *** results show that the proposed system can be used by dermatologists in the clinical decision-making process for the early diagnosis of AM.

关键词： Deep learning Acral melanoma Skin cancer detection Convolutional networks Dermoscopic images Medical image analysis Computer based diagnosis

Fake News Classification: Past, Current, and Future

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Computers, Materials & Continua 2023年第11期77卷 2225-2249页

作者： muhammad usman ghani Khan Abid Mehmood Mourad Elhadef Shehzad Ashraf Chaudhry Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science&Information Technology Abu Dhabi UniversityAbu Dhabi59911United Arab Emirates Department of Software Engineering Faculty of Engineering and ArchitectureNisantasi UniversityIstanbulTurkey

The proliferation of deluding data such as fake news and phony audits on news web journals,online publications,and internet business apps has been aided by the availability of the web,cell phones,and social *** can quickly fabricate comments and news on social *** most difficult challenge is determining which news is real or ***,tracking down programmed techniques to recognize fake news online is *** an emphasis on false news,this study presents the evolution of artificial intelligence techniques for detecting spurious social media *** study shows past,current,and possible methods that can be used in the future for fake news *** different publicly available datasets containing political news are utilized for performing *** supervised learning algorithms are used,and their results show that conventional Machine Learning(ML)algorithms that were used in the past perform better on shorter text *** contrast,the currently used Recurrent Neural Network(RNN)and transformer-based algorithms perform better on longer ***,a brief comparison of all these techniques is provided,and it concluded that transformers have the potential to revolutionize Natural Language Processing(NLP)methods in the near future.

关键词： Supervised learning algorithms fake news classification online disinformation transformers recurrent neural network(RNN)disinformation transformers recurrent neural network(RNN)

Cognitive Skill Enhancement System Using Neuro-Feedback for ADHD Patients

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Computers, Materials & Continua 2021年第8期68卷 2363-2376页

作者： muhammad usman ghani Khan Zubaira Naz Javeria Khan Tanzila Saba Ibrahim Abunadi Amjad Rehman usman Tariq Al-khawarizmi Institute of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Artificial Intelligence and Data Analytics Lab CCIS Prince Sultan UniversityRiyadhSaudi Arabia College of Computer Engineering and Science Prince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

The National Health Interview Survey(NHIS)shows that there are 13.2%of children at the age of 11 to 17 who are suffering from Attention Deficit Hyperactivity Disorder(ADHD),*** treatment methods for ADHD are either psycho-stimulant medications or cognitive *** traditional methods,namely therapy,need a large number of visits to hospitals and include *** could be used for the effective treatment of *** could be a helpful tool in improving children and ADHD patients’cognitive skills by using Brain–Computer Interfaces(BCI).BCI enables the user to interact with the computer through brain activity using Electroencephalography(EEG),which can be used to control different computer applications by processing acquired brain *** paper proposes a system based on neurofeedback that can improve cognitive skills such as attention level,mediation level,and spatial *** proposed system consists of a puzzle game where its complexity increases with each *** signals were acquired using the Neurosky headset;then sent the signals to the designed gaming *** neurofeedback system was tested on 10 different subjects,and their performance was calculated using different evaluation *** results show that this game improves player overall performance from 74%to 98%by playing each game level.

关键词： Neurogaming brain-computer interface attention deficit hyperactivity disorder electroencephalography spatial memory cognitive skills attention level

Vision based intelligent traffic light management system using Faster R‐CNN

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 932-947页

作者： Syed Konain Abbas muhammad usman ghani Khan Jia Zhu Raheem Sarwar Naif R.Aljohani Ibrahim A.Hameed muhammad Umair Hassan Department of Computer Science and Engineering University of Engineering and TechnologyLahorePakistan Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal UniversityJinhuaChina OTHEM Manchester Metropolitan UniversityManchesterUK Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia Department of ICT and Natural Sciences Norwegian University of Science and Technology(NTNU)ÅlesundNorway

Transportation systems primarily depend on vehicular flow on roads. Developed coun-tries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

关键词： access control artificial intelligence computer vision intelligent control

Antagonistic Potential of Bacterial Species against Fungal Plant Pathogens(FPP)and Their Role in Plant Growth Promotion(PGP):A Review

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Phyton-International Journal of Experimental Botany 2022年第9期91卷 1859-1877页

作者： Amjad Ali Yasir Iftikhar Mustansar Mubeen Haider Ali muhammad Ahmad Zeshan Zohaib Asad muhammad Zafar-ul-Hye Malik Abdul Rehman Mazhar Abbas muhammad Rafique muhammad usman ghani Department of Plant Protection Sivas University of Science and TechnologySivas58140Turkey Department of Plant Pathology College of AgricultureUniversity of SargodhaSargodha40100Pakistan College of Bioscience University of BirminghamBirminghamB152TTUK Department of Plant Pathology PMAS University of Arid AgricultureRawalpindi43490Pakistan Department of Soil Science Faculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultan60800Pakistan Citrus Research Institute Sargodha40100Pakistan Department of Agriculture and Agribusiness Management University of Karachi75270KarachiPakistan Pest warning&Quality Control of Pesticides SahiwalPunjab40210Pakistan Institute of Soil and Environmental Sciences University of AgricultureFaisalabad38000Pakistan

Since the 19th century to date,the fungal pathogens have been involved in causing devastating diseases in *** types of fungal pathogens have been observed in important agricultural crops that lead to significant pre and postharvest *** application of synthetic fungicide against the fungal plant pathogens(FPP)is a traditional management practice but at the same time these fungicides kill other beneficial microbes,insects,animal,and humans and are harmful to *** antagonistic microorganism such as bacteria are being used as an alternate strategy to control the *** antagonistic species are cost-effective and eco-friendly in *** biocontrol bacteria have a broad mechanism against fungal pathogens present in the phyllosphere and rhizosphere of the *** antagonistic bacteria have different strategies against the FPP,by producing siderophore,biofilm,volatile organic compounds(VOCs),through parasitism,antibiosis,competition for limited resources and induce systemic resistance(ISR)in the host plant by activating the immune *** commercial bio-products synthesized by the major bacterial species Pseudomonas syringae,Burkholderia cepacia,Streptomyces griseoviridis,Pseudomonas fluorescens and Bacillus subtilis are used to control Fusarium,Pythium,Rhizoctonia,Penicillium,Alternaria,and *** commercial bio-formulations of bacteria act as both antifungal and plant growth *** Plant growth-promoting rhizobacteria(PGPR)played a significant role in improving plant health by nitrogen-fixing,phosphorus solubilization,phytohormones production,minimizing soil metal contamination,and by ACC deaminase antifungal *** articles are available on the specific antifungal activity of bacteria in plant ***,this review article has summarized the information on biocontrol activity of bacteria against the FPP and the role of PGPR in plant growth *** review also provided a complete picture

关键词： Fungi plant pathogens synthetic fungicide antagonism bio-products PGPR

不同孔径碳纤维三向织物复合材料增强混凝土轴压研究

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复合材料科学与工程 2024年

作者：孙婷婷张洪华 muhammad usman ghani 李炜东华大学纺织学院东华大学民用航空复合材料协同创新中心产业用纺织品教育部工程研究中心

选用3种规格的T300碳纤维制备3种不同孔径大小的三向织物（Triaxial woven fabric，TWF）树脂基复合材料对混凝土进行加固。使用3D-DIC技术获取三维位移场和应变场，直观反映试样表面织物的膨胀脱落和不同纱线应变扩展的演化过程。结果... 详细信息

选用3种规格的T300碳纤维制备3种不同孔径大小的三向织物（Triaxial woven fabric，TWF）树脂基复合材料对混凝土进行加固。使用3D-DIC技术获取三维位移场和应变场，直观反映试样表面织物的膨胀脱落和不同纱线应变扩展的演化过程。结果表明：碳纤维三向织物复合材料在压缩时，三向织物的孔径越小，约束效果越显著。与未约束的混凝土相比，TWF-24k的峰值载荷提升了38.7%TWF-12k提高了41.2%，TWF-6k提高了49.9%。在孔隙率一定时，小孔径TWF更大程度地提升了混凝土的抗压强度和延性；TWF-6k试样的应变-时间曲线变化趋势更加一致，试样内部的应力分布更均匀。结合3D-DIC技术获取从加载到破坏整个时间序列的位移场和应变场演化规律，结果表明：TWF-6k相比于TWF-12k和TWF-24k经纬纱均提供了约束作用，均匀分担轴向压缩力和径向拉伸力，具有最好的约束效果。

关键词：碳纤维三向织物混凝土加固 3D-DIC 位移场三维应变场

Immunomodulatory Effect of Purified Exotoxins of <i>Staphylococcus aureus</i>in Association with Bird Flu Virus Vaccine in Broilers

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American Journal of Molecular Biology 2019年第1期9卷 1-15页

作者： muhammad usman ghani muhammad Danish Mehmood Amna Javed Farheen Ansari Huma Anwar Sana Noreen Sajjad Hussain Shah Ottoman Pharma (Immuno Division) Lahore Pakistan Institute of Molecular Biology and Biotechnology University of Lahore Lahore Pakistan

Immunization is the most effective method still used against infectious agents. Although not always, vaccines ineffectiveness is reported enormously against many of the pathogens throughout the world in poultry, particularly in case of killed or sub unit vaccine. The current project is, therefore, carried out as a preliminary study on broiler chickens to investigate the modulation of immune system against avian influenza virus in association with purified Staphylococcus aureus toxoid. After isolation of Gram positive cocci bacteria on mannitol salt agar from raw milk, yogurt and chicken meat were subsequently biochemically characterized by using rapid diagnostic kit. Pure culture of S. aureus was inoculated into digitally controlled bio-fermentor containing mannitol salt broth for production of toxins. Enormous production of bacteria was passed through sequence of filtration system based on 0.45 μm followed by 0.22 μm size. The centrifugation of the filtrate was made at 10,000 rpm for 60 minutes at 5℃ followed by 56,100 rpm for 20 minutes and clear supernatant containing Staphylococcus enterotoxin (SEs) was obtained. Bradford estimation of proteins further provided 305 μg/ml of SEs toxoid. Four types of oil adjuvant avian influenza type H9N2 virus vaccines (without toxoid, 91.5 μg/0.3ml, 22.8 μg/0.3ml and 11.43 μg/0.3ml) were injected into healthy AI H9N2 susceptible broilers and anti-H9N2 HI antibody titers were measured in terms of hemagglutination inhibition test. It was observed that on the 8th day, post vaccination cumulative mean anti AIH9 HI antibody titer of G-1, G-2, G-3, G-4 and G-5 was 3.13 ± 0.406, 5.13 ± 0.246, 3.96 ± 0.159, 3.25 ± 0.237 and 0.78 ± 0.467 respectively. It was found that all the vaccines induced protective titers 18 days’ post vaccination, but vaccine containing 91.5 μg/dose of SEs toxoid showed significantly higher (P < 0.05) immune response as compared to vaccine containing 22.8 μg/dose and 11.43 μg/dose, whereas, vaccines containing SE

关键词： AIV H9N2 Staphylococcus aureus Toxoid Super Antigen Immunomodulation HI Assay

Comparative Efficacy of Different Inactivated Hydro-Pericardium Syndrome Vaccines Prepared from Infected Liver and Vero Cell Line Adapted Adeno Type 4 Virus

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World Journal of Vaccines 2020年第1期10卷 1-16页

作者： muhammad Danish Mehmood Huma Anwarul-Haq Faisal Amin Sajjad Hussain Ejaz Rafique muhammad usman ghani muhammad Ismail Fareeha Ghaffar Ottoman Pharma (Immuno Division) Lahore Pakistan Grandparent Diagnostic Laboratory Lahore Pakistan Veterinary Research Institute Lahore Pakistan Institute of Molecular Biology and Biotechnology University of Lahore Lahore Pakistan

Hydro-Pericardium Syndrome (HPS) is viral problem of commercial poultry caused by aviadeno virus type-4. In Pakistan the problems have been controlled by administering inactivated infected liver homogenate vaccine (ILHV). The use of liver based HPS vaccines remained potential threat for having hypersensitivity reactions in poultry. The current study was carried out to compare the serological potency of HPS ILHV to vero cell line adopted vaccine in term of anti HPS-ELISA antibody titers. 14 HPS virus vaccines were prepared based on different concentration of antigen, type of adjuvants and source of virus substrate. Total of 160 birds were divided into 16 groups each containing 10 birds. At day of 14th age each bird of every group was injected with 0.3 ml dose of respective vaccine. It was observed that HPS infected liver based vaccine having 1 × 105.6, 1 × 105.6 and 1 × 103.6 bird lethal dose 50 induced 1092.10, 875.25 and 702.2 anti-HPS ELISA antibody titer respectively. The 20, 25 and 30 doses/gm HPS infected liver vaccine induced 110.4, 1071.9 and 1037.8 anti-HPS ELISA antibody titer respectively. Montanide based tissue culture HPS vaccine showed significantly higher 1148.45 anti-HPS ELISA antibody titer to aluminium hydroxide based vaccine (137.2) (P 5.6 TCID50 is serological potent against field infection. The vaccines based on such formulation could be prepared in future for effective immuno-prophylaxis against HPS virus.

关键词： Hydro-Pericardium Syndrome Vero Cell Line Infected Liver Homogenate Cytopathic Effect Tissue Culture Infective Dose Montanide HPS ELISA

PCR Based Detection and Phylogenetic Analysis of Fowl Adenovirus Strains Isolated from 2019 Epidemic from Punjab and Sindh, Pakistan

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American Journal of Molecular Biology 2020年第3期10卷 246-258页

作者： Nadeem Sharif muhammad Danish Mehmood Syed Zeeshan Haider Naqvi Huma Anwar ul-Haq Syed Shoaib Ahmed muhammad usman ghani muhammad Shoaib Mubashir Hussain Institute of Molecular Biology and Biotechnology University of Lahore Lahore Pakistan Ottoman Pharma (Immuno Division) Lahore Pakistan College of Veterinary Sciences FSH & VS Peshawar Pakistan Kohat University of Science & Technology Kohat Pakistan

Hydro-Pericardium Hepatitis (HPH) is an emerging infectious disease of commercial poultry, caused by different serotypes of Fowl Adeno Virus. The vertical transmission of the virus into the progeny may results in devastating damage, causing huge economic losses to its farmers. In present study, molecular typing is performed on basis of partially conserved hexon gene sequences, using a unique set of primers having common reverse oligo for simultaneous detection of FAdV1, FAdV-4 and FAdV-11. A total of 14 fowl adeno virus strains were isolated from 100 suspected adeno virus liver samples, collected from different districts in Pakistan, between 2018 and 2019. FASTA’s sequence alignment and phylogenetic analysis revealed that out of the 14, one isolate which belonged to group A showed 27% similarity with FAdV-1, while three isolates showed 99%, 95% & 45% similarity to FAdV-4 (Group C). Whereas, ten isolates showed more than 99% similarity to FAdV-11 (Group D). The serotypes FAdV1, FAdV-4 and FAdV-11 are prevailing in the breeder and broilers. These results hold great importance in rapid, reliable and simultaneous detection of the three FAdV serotypes. Therefore, fowl adeno virus vaccine production for commercial poultry shall be according to the prevalent field serotypes.

关键词： Hydro-Pericardium Hepatitis (HPH) Hexon Gene Polymerase Chain Reaction Phylogenetic Analysis Sanger’s Sequence