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Abdul Majid
Researcher at University of Gujrat
Publications - 171
Citations - 1557
Abdul Majid is an academic researcher from University of Gujrat. The author has contributed to research in topics: Band gap & Doping. The author has an hindex of 15, co-authored 160 publications receiving 1038 citations. Previous affiliations of Abdul Majid include Majmaah University & Quaid-i-Azam University.
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Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies.
Lal Hussain,Adeel Ahmed,Sharjil Saeed,Saima Rathore,Imtiaz Ahmed Awan,Saeed Arif Shah,Abdul Majid,Adnan Idris,Anees Ahmed Awan +8 more
TL;DR: Novel Machine learning techniques such as Bayesian approach, Support vector machine (SVM) kernels: polynomial, radial base function (RBF) and Gaussian and Decision Tree for detecting prostate cancer are employed and different features extracting strategies are proposed to improve the detection performance.
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A Review on Novel Eco-Friendly Green Approach to Synthesis TiO 2 Nanoparticles Using Different Extracts
Ghulam Nabi,Qurat-ul-Aain,N.R. Khalid,M. Bilal Tahir,Muhammad Rafique,Muhammad Rizwan,Sajad Hussain,Tahir Iqbal,Abdul Majid +8 more
TL;DR: In this review, a compact data on the green synthesis of TiO2 nanoparticles from the plant extracts is summarized and the amendable features for the qualitative and quantitative enhancement in the product and the reliable application perspectives are mentioned.
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Detecting prostate cancer using deep learning convolution neural network with transfer learning approach
Adeel Ahmed Abbasi,Lal Hussain,Imtiaz Ahmed Awan,Imran Abbasi,Abdul Majid,Malik Sajjad Ahmed Nadeem,Quratul-Ain Chaudhary +6 more
TL;DR: Radiologists cannot detect prostate cancer properly because of complexity in masses, so many prostate cancer detection techniques were developed but these could not diagnose cancer efficiently and outstanding results were obtained by using deep learning technique.
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A review on first principles based studies for improvement of cathode material of lithium ion batteries
TL;DR: In this article, the authors present a comprehensive insight and thorough analysis of the global research efforts related to the cathode materials based on first principles framework, sheds light on current status of knowledge and explores the ways forward.
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Morphology Tailored Synthesis of C-WO 3 nanostructures and its Photocatalytic Application
TL;DR: In this article, the carbon coupled WO3 nanoparticles with different concentrations of carbon (0.0, 0.2), 0.5, 1.0 and 2.0) were synthesized from Na2WO4·2H2O with glucose and nitric acid.