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1Academic Journal
المؤلفون: Muhammad Naeem Sarwar, Zahida Javed, Muhammad Shahid Farooq, Muhammad Faizan Nazar, Shahbaz Hassan Wasti, Intzar Hussain Butt, Ghulam Jillani Ansari, Rabia Basri, Sumaira Kulsoom, Zaka Ullah
المصدر: Societies, Vol 14, Iss 8, p 133 (2024)
مصطلحات موضوعية: growth mindset, fixed mindset, digital growth mindset, student motivation, chemistry achievement, Social sciences (General), H1-99
وصف الملف: electronic resource
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2Academic Journal
المؤلفون: Muhammad Naeem Sarwar, Asif Shahzad, Zaka Ullah, Shahid Raza, Shahbaz Hassan Wasti, Mansour Shrahili, Ibrahim Elbatal, Sumaira Kulsoom, Shahzada Qaisar, Muhammad Faizan Nazar
المصدر: Frontiers in Education, Vol 9 (2024)
مصطلحات موضوعية: misconceptions, conceptual change text, nanotechnology, nanomaterial, constructivism, concept maps, Education (General), L7-991
وصف الملف: electronic resource
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3Academic Journal
المؤلفون: Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Mujeeb Ur Rehman, Shahbaz Hassan Wasti
المصدر: PLoS ONE, Vol 17, Iss 1, p e0263126 (2022)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1932-6203
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4Academic Journal
المصدر: Data in Brief, Vol 30, Iss , Pp 105377- (2020)
مصطلحات موضوعية: Semantic similarity, Wikipedia category graph, Multiple inheritances, Information content, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
وصف الملف: electronic resource
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5Academic Journal
المؤلفون: Guangjian Huang, Shahbaz Hassan Wasti, Lina Wei, Yuncheng Jiang
المصدر: Entropy, Vol 21, Iss 9, p 903 (2019)
مصطلحات موضوعية: probabilistic automata, probability distribution, related concept, semantic computing, Science, Astrophysics, QB460-466, Physics, QC1-999
وصف الملف: electronic resource
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6Academic Journal
المؤلفون: Ghulam Abbas, Zhiming Liu, Shahbaz Hassan Wasti, Uzma Munir, Muhammad Abbas
المصدر: Economies, Vol 7, Iss 3, p 90 (2019)
مصطلحات موضوعية: CPEC, OBOR, Pakistan economy, game-changer, Economics as a science, HB71-74
وصف الملف: electronic resource
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7
المصدر: Information Sciences. 625:673-699
مصطلحات موضوعية: Information Systems and Management, Artificial Intelligence, Control and Systems Engineering, Software, Computer Science Applications, Theoretical Computer Science
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8
المصدر: Soft Computing. 25:5775-5789
مصطلحات موضوعية: 0209 industrial biotechnology, Finite-state machine, Theoretical computer science, Computer science, Pushdown automaton, Computational intelligence, 02 engineering and technology, Nonlinear Sciences::Cellular Automata and Lattice Gases, Theoretical Computer Science, Automaton, TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES, 020901 industrial engineering & automation, Semantic similarity, Semantic computing, Theory of computation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Geometry and Topology, State (computer science), Finite set, Computer Science::Formal Languages and Automata Theory, Software
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9Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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10Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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11Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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12Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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13Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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14Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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15
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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16Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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17Image
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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18
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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19
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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20
المؤلفون: Tariq Mahmood (481039), Jianqiang Li (390212), Yan Pei (233607), Faheem Akhtar (12008956), Mujeeb Ur Rehman (3830320), Shahbaz Hassan Wasti (8494092)
مصطلحات موضوعية: Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, synthetic data augmentation, model &# 8217, mammographic images using, low image quality, experimental findings indicate, achieve higher performance, transfer learning techniques, consistency feature extraction, breast masses diagnosis, breast lesions classifications, novel deep learning, classifying breast masses, feature learning, deep learning, automatically classifying, breast tumors, worst illnesses, treatment planning, test accuracy, suspicious regions, study proposes, speedy computation, specific features, risk assessment
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