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Advances in Data Science and Adaptive Analysis: Theory and Applications

Material type: Continuing resourceContinuing resourceLanguage: English Analytics: Show analyticsPublication details: New Jersey, USA : World ScientificISSN:
  • 17935369
Online resources:
Holdings
Item type Current library Collection Shelving location Call number Vol info Status Notes Date due Barcode
Serials Collection Serials Collection Periodical Section Department of Computer Science and Information Technology at Thar Periodical Section Vol.12, No.03&04 (Jul. 2020) Not For Loan Quarterly S33636
Serials Collection Serials Collection Periodical Section Department of Computer Science and Information Technology at Thar Periodical Section Vol.12, No.02 (Apr. 2020) Not For Loan Quarterly S33635
Serials Collection Serials Collection Periodical Section Department of Computer Science and Information Technology at Thar Periodical Section Vol.12, No.01 (Jan. 2020) Not For Loan Quarterly S33521

Design and Implementation of a Novel Hybrid Rental Apartment Recommender System by
  • Neloy, Asif Ahmed
  • Alam, Sazid
  • Bindu, Rafia Alif
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Roman Urdu Headline News Text Classification Using RNN, LSTM and CNN by
  • Kandhro, Irfan Ali
  • Jumani, Sahar Zafar
  • Kumar, Kamlash
  • Hafeez, Abdul
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Optimizing Data Transmission from Iot Devices through Weighted Online Data Changing Detectors by
  • Divan, Mario Jose
  • Sanchez-Reynoso, Maria Laura
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
IDC Breast Cancer Detection Using Deep Learning Schemes by
  • Kumar, Kamlesh
  • Saeed, Umair
  • Rai, Athaul
  • Islam, Noman
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Data-Mining Homogeneous Subgroups in Multiple Regression When Heteroscedasticity, Multicolilnearity, and Missing Variables Confound Predictor Effects by
  • Francoeur, Richard B
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Solving Portfolio Optimization Problems Using MOEA/D and Levy Flight by
  • He, Yifan
  • Aranha, Claus
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Continuous Empirical Wavelets Systems by
  • Gilies, Jerome
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Towards a Knowledge-Driven Framework of Cyber-Physical Social System for Multidimensional Urban Mobility by
  • Abbasi, Faheem Ahmed
  • Karray, Mohammed Hedi
  • Houe, Raymond
  • Memon, Muhammad Ali
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding by
  • Aboah, Armstrong
  • Adu-Gyamfi, Yaw
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Features Reweighting and Selection in ligand-Based Virtual Screening for Molecular Similarity Searching Based on Deep Belief Networks by
  • Nasser, Maged
  • Salim, Naomie
  • Hamza, Hentabli
  • Saeed, Faisal
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
On Pricing American Put Option on a Fixed Term: a Monte Carlo Approach by
  • Boiquaye, Perpetual andam
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Approximate Entropy and Empirical Mode Decomposition for Improved Speaker Recognition by
  • Metzger, Richard A
  • Doherty, John F
  • Jenkins, David M
  • Hali, Donald L
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Condition Monitoring of Equipment in Oil Welis Using Deep Learning by
  • Imamverdiyev, Yadigar N
  • Abduliayeva, Fargana J
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Weak and Strong Compatibility in Data Fitting Problems Under Interval Uncertainty by
  • Shary, Sergey P
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Hybrid Machine Learning and Geographic Information Systedms Approach a Case for Grade Crossing Crash Data Analysis by
  • Lasisi, Ahmed
  • li, Pengyu
  • Chen, Jian
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).
Bayesian Kernel Regression for Noisy Inputs Based on Nadaraya Watson Estimator Constructed from Noiseless Training Data by
  • Hanafusa, Ryo
  • Okadome, Takeshi
Source: Advances in Data Science and Adaptive Analysis: Theory and Applications
Material type: Article Article; Format: print
Availability: Not available: Engr Abul Kalam Library: Available on Request (1).