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  • Periodic Pattern Mining : Theory, Algorithms, and Applications - R. Uday Kiran
    Periodic Pattern Mining
    Theory, Algorithms, and Applications
    R. Uday Kiran, Philippe Fournier-Viger, Jose M. Luna, Jerry Chun-Wei Lin and Anirban Mondal
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  • High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory - Aygul Zagidullina
    High-Dimensional Covariance Matrix Estimation
    An Introduction to Random Matrix Theory
    Aygul Zagidullina
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  • Machine Translation : 17th China Conference, CCMT 2021, Xining, China, October 8-10, 2021, Revised Selected Papers - Jinsong Su
    Machine Translation
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    Jinsong Su and Rico Sennrich
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  • Sabermetrics : Baseball, Steroids, and How the Game has Changed Over the Past Two Generations - Gabriel B. Costa
    Sabermetrics
    Baseball, Steroids, and How the Game has Change...
    Gabriel B. Costa
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  • Semiparametric Odds Ratio Model and Its Applications - Hua Yun Chen
    Semiparametric Odds Ratio Model and Its Applications
    Hua Yun Chen
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  • Introduction to Optimization-Based Decision-Making : Chapman & Hall/CRC Series in Operations Research - Joao Luis de Miranda
    Introduction to Optimization-Based Decision-Making
    Chapman & Hall/CRC Series in Operations Research
    Joao Luis de Miranda
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  • Research Methods and Data Analysis for Business Decisions : A Primer Using SPSS - James E. Sallis
    Research Methods and Data Analysis for Business Decisions
    A Primer Using SPSS
    James E. Sallis, Geir Gripsrud, Ulf Henning Olsson and Ragnhild Silkoset
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  • Computer Analysis of Images and Patterns : 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I - Nicolas Tsapatsoulis
    Computer Analysis of Images and Patterns
    19th International Conference, CAIP 2021, Virtu...
    Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis and Mario Vento
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  • Explainable AI Within the Digital Transformation and Cyber Physical Systems : XAI Methods and Applications - Moamar Sayed-Mouchaweh
    Explainable AI Within the Digital Transformation and Cyber Physical Systems
    XAI Methods and Applications
    Moamar Sayed-Mouchaweh
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  • Sparse Estimation with Math and Python : 100 Exercises for Building Logic - Joe Suzuki
    Sparse Estimation with Math and Python
    100 Exercises for Building Logic
    Joe Suzuki
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  • The Signed Distance Measure in Fuzzy Statistical Analysis : Theoretical, Empirical and Programming Advances - Rédina Berkachy
    The Signed Distance Measure in Fuzzy Statistical Analysis
    Theoretical, Empirical and Programming Advances
    Rédina Berkachy
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  • R-CALCULUS : A Logic of Belief Revision - Wei Li
    R-CALCULUS
    A Logic of Belief Revision
    Wei Li and Yuefei Sui
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  • Recent Advances in Industrial Production : Select Proceedings of ICEM 2020 - Rajeev Agrawal
    Recent Advances in Industrial Production
    Select Proceedings of ICEM 2020
    Rajeev Agrawal, Jinesh Kumar Jain, Vinod Singh Yadav, Vijaya Kumar Manupati and Leonilde Varela
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  • Soft Computing in Interdisciplinary Sciences : Intelligent Technologies and Robotics (R0) - S. Chakraverty
    Soft Computing in Interdisciplinary Sciences
    Intelligent Technologies and Robotics (R0)
    S. Chakraverty
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  • R for Health Data Science - Ewen Harrison
    R for Health Data Science
    Ewen Harrison and Riinu Pius
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  • Transcendence in Algebra, Combinatorics, Geometry and Number Theory : TRANS19 - Transient Transcendence in Transylvania, Bra?ov, Romania, May 13-17, 2019, Revised and Extended Contributions - Alin Bostan
    Transcendence in Algebra, Combinatorics, Geometry and Number Theory
    TRANS19 - Transient Transcendence in Transylvan...
    Alin Bostan and Kilian Raschel
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  • The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2 - John Macintyre
    The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
    SPIoT-2021 Volume 2
    John Macintyre, Jinghua Zhao and Xiaomeng Ma
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  • Spatial Econometric Methods in Agricultural Economics Using R - Paolo Postiglione
    Spatial Econometric Methods in Agricultural Economics Using R
    Paolo Postiglione
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  • Approaches, Opportunities, and Challenges for Eco-design 4.0 : A Concise Guide for Practitioners and Students - Samira Keivanpour
    Approaches, Opportunities, and Challenges for Eco-design 4.0
    A Concise Guide for Practitioners and Students
    Samira Keivanpour
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  • Dynamic Resource Management in Service-Oriented Core Networks : Computer Science (R0) - Weihua Zhuang
    Dynamic Resource Management in Service-Oriented Core Networks
    Computer Science (R0)
    Weihua Zhuang and Kaige Qu
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  • Research in Computer Science and Its Applications : 11th International Conference, CNRIA 2021, Virtual Event, June 17-19, 2021, Proceedings - Youssou Faye
    Research in Computer Science and Its Applications
    11th International Conference, CNRIA 2021, Virt...
    Youssou Faye, Assane Gueye, Bamba Gueye, Dame Diongue and Mandicou Ba
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  • Theory and Practice of Natural Computing : 10th International Conference, TPNC 2021, Virtual Event, December 7-10, 2021, Proceedings - Author
    Theory and Practice of Natural Computing
    10th International Conference, TPNC 2021, Virtu...
    Author
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  • Textile Engineering : Statistical Techniques, Design of Experiments and Stochastic Modeling - Anindya Ghosh
    Textile Engineering
    Statistical Techniques, Design of Experiments a...
    Anindya Ghosh, Bapi Saha and Prithwiraj Mal
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  • Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing : Computer Science (R0) - Sujata Dash
    Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
    Computer Science (R0)
    Sujata Dash, Subhendu Kumar Pani, Ajith Abraham and Yulan Liang
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  • Web App Development and Real-Time Web Analytics with Python : Develop and Integrate Machine Learning Algorithms into Web Apps - Tshepo Chris Nokeri
    Web App Development and Real-Time Web Analytics with Python
    Develop and Integrate Machine Learning Algorith...
    Tshepo Chris Nokeri
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  • Graph Sampling - Li-Chun Zhang
    Graph Sampling
    Li-Chun Zhang
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  • Modeling and Simulating Complex Business Perceptions : Using Graphical Models and Fuzzy Cognitive Maps - Zoumpolia Dikopoulou
    Modeling and Simulating Complex Business Perceptions
    Using Graphical Models and Fuzzy Cognitive Maps
    Zoumpolia Dikopoulou
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    $209.00
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  • Machine Learning with Quantum Computers : Physics and Astronomy (R0) - Maria Schuld
    Machine Learning with Quantum Computers
    Physics and Astronomy (R0)
    Maria Schuld and Francesco Petruccione
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  • An Introduction to Bayesian Inference, Methods and Computation : Mathematics and Statistics (R0) - Nick Heard
    An Introduction to Bayesian Inference, Methods and Computation
    Mathematics and Statistics (R0)
    Nick Heard
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    $109.00
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  • Painless Statistics : Barron's Painless - Patrick Honner
    Painless Statistics
    Barron's Painless
    Patrick Honner
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    $16.99
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  • Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning : Engineering (R0) - Qiang Ren
    Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning
    Engineering (R0)
    Qiang Ren, Yinpeng Wang, Yongzhong Li and Shutong Qi
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  • Multimodal Learning for Clinical Decision Support : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings - Author
    Multimodal Learning for Clinical Decision Support
    11th International Workshop, ML-CDS 2021, Held ...
    Author
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  • Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law : Law and Criminology (R0) - Daria Kim
    Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law
    Law and Criminology (R0)
    Daria Kim
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  • Multi-faceted Deep Learning : Models and Data - Jenny Benois-Pineau
    Multi-faceted Deep Learning
    Models and Data
    Jenny Benois-Pineau and Akka Zemmari
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  • Stochastic Optimization for Large-scale Machine Learning - Vinod Kumar Chauhan
    Stochastic Optimization for Large-scale Machine Learning
    Vinod Kumar Chauhan
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  • Deterministic and Stochastic Optimal Control and Inverse Problems - Baasansuren Jadamba
    Deterministic and Stochastic Optimal Control and Inverse Problems
    Baasansuren Jadamba
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    $107.79
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  • Application of Machine Learning and Deep Learning Methods to Power System Problems : Energy (R0) - Morteza Nazari-Heris
    Application of Machine Learning and Deep Learning Methods to Power System Problems
    Energy (R0)
    Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar and Milad Sadat-Mohammadi
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  • Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part II - Mayank Singh
    Advances in Computing and Data Sciences
    5th International Conference, ICACDS 2021, Nash...
    Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser and V. R. Sonawane
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    $139.00
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  • Advances in Computational Intelligence : 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, Proceedings, Part I - Author
    Advances in Computational Intelligence
    20th Mexican International Conference on Artifi...
    Author
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  • Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part I - Huimin Ma
    Pattern Recognition and Computer Vision
    4th Chinese Conference, PRCV 2021, Beijing, Chi...
    Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu and Yao Zhao
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  • Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II - Author
    Pattern Recognition and Computer Vision
    4th Chinese Conference, PRCV 2021, Beijing, Chi...
    Author
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  • Similarity Search and Applications : 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings - Nora Reyes
    Similarity Search and Applications
    14th International Conference, SISAP 2021, Dort...
    Nora Reyes, Richard Connor, Nils Kriege, Daniyal Kazempour and Jian-Jia Chen
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  • Confidence Intervals for Discrete Data in Clinical Research : Chapman & Hall/CRC Biostatistics Series - Vivek Pradhan
    Confidence Intervals for Discrete Data in Clinical Research
    Chapman & Hall/CRC Biostatistics Series
    Vivek Pradhan, Ashis Gangopadhyay, Sandeep M. Menon, Cynthia Basu and Tathagata Banerjee
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  • Martingale Methods in Statistics : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Yoichi Nishiyama
    Martingale Methods in Statistics
    Chapman & Hall/CRC Monographs on Statistics and...
    Yoichi Nishiyama
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  • Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part I - Mayank Singh
    Advances in Computing and Data Sciences
    5th International Conference, ICACDS 2021, Nash...
    Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser and V. R. Sonawane
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  • Applied Informatics : Fourth International Conference, ICAI 2021, Buenos Aires, Argentina, October 28-30, 2021, Proceedings - Hector Florez
    Applied Informatics
    Fourth International Conference, ICAI 2021, Bue...
    Hector Florez and Ma Florencia Pollo-Cattaneo
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  • Higgs Boson Decays into a Pair of Bottom Quarks : Observation with the ATLAS Detector and Machine Learning Applications - Cecilia Tosciri
    Higgs Boson Decays into a Pair of Bottom Quarks
    Observation with the ATLAS Detector and Machine...
    Cecilia Tosciri
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  • Beginning Apache Spark 3 : With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library - Hien Luu
    Beginning Apache Spark 3
    With DataFrame, Spark SQL, Structured Streaming...
    Hien Luu
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  • Randomness and Elements of Decision Theory Applied to Signals : Physics and Astronomy (R0) - Monica Borda
    Randomness and Elements of Decision Theory Applied to Signals
    Physics and Astronomy (R0)
    Monica Borda, Romulus Terebes, Raul Malutan, Ioana Ilea and Stefania Barburiceanu
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  • Data Mining : 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings - Yue Xu
    Data Mining
    19th Australasian Conference on Data Mining, Au...
    Yue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo and Graham Williams
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  • 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods - Shan Liu
    3D Point Cloud Analysis
    Traditional, Deep Learning, and Explainable Mac...
    Shan Liu, Min Zhang, Pranav Kadam and C.-C. Jay Kuo
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  • On the Epistemology of Data Science : Conceptual Tools for a New Inductivism - Wolfgang Pietsch
    On the Epistemology of Data Science
    Conceptual Tools for a New Inductivism
    Wolfgang Pietsch
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  • Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy : Proceedings of the Second International Conference, MMCITRE 2021 - Manoj Sahni
    Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    Proceedings of the Second International Confere...
    Manoj Sahni, José M. Merigó, Ritu Sahni and Rajkumar Verma
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  • Computational Intelligence in Data Science : 4th IFIP TC 12 International Conference, ICCIDS 2021, Chennai, India, March 18-20, 2021, Revised Selected Papers - Vallidevi Krishnamurthy
    Computational Intelligence in Data Science
    4th IFIP TC 12 International Conference, ICCIDS...
    Vallidevi Krishnamurthy, Suresh Jaganathan, Kanchana Rajaram and Saraswathi Shunmuganathan
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  • Stochastic Benchmarking : Theory and Applications - Alireza Amirteimoori
    Stochastic Benchmarking
    Theory and Applications
    Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles and Saber Mehdizadeh
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  • Deep Learning : A Comprehensive Guide - Shriram K Vasudevan
    Deep Learning
    A Comprehensive Guide
    Shriram K Vasudevan, Sini Raj Pulari and Subashri Vasudevan
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  • Theory of Statistical Inference : Chapman & Hall/CRC Texts in Statistical Science - Anthony Almudevar
    Theory of Statistical Inference
    Chapman & Hall/CRC Texts in Statistical Science
    Anthony Almudevar
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  • Constrained Markov Decision Processes : Stochastic Modeling Series - Eitan Altman
    Constrained Markov Decision Processes
    Stochastic Modeling Series
    Eitan Altman
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  • Bayesian Methods for Finite Population Sampling : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Malay Ghosh
    Bayesian Methods for Finite Population Sampling
    Chapman & Hall/CRC Monographs on Statistics and...
    Malay Ghosh and Glen Meeden
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  • Data Governance Success : Growing and Sustaining Data Governance - Rupa Mahanti
    Data Governance Success
    Growing and Sustaining Data Governance
    Rupa Mahanti
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  • Mathematical and Statistical Methods for Actuarial Sciences and Finance : eMAF2020 - Marco Corazza
    Mathematical and Statistical Methods for Actuarial Sciences and Finance
    eMAF2020
    Marco Corazza, Manfred Gilli, Cira Perna, Claudio Pizzi and Marilena Sibillo
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  • Proceedings of International Conference on Computational Intelligence and Emerging Power System : ICCIPS 2021 - Ramesh C. Bansal
    Proceedings of International Conference on Computational Intelligence and Emerging Power System
    ICCIPS 2021
    Ramesh C. Bansal, Akka Zemmari, K. G. Sharma and Jyoti Gajrani
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  • Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis : Computer Science (R0) - Subhendu Kumar Pani
    Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
    Computer Science (R0)
    Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari and Francesco Flammini
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  • Combating Fake News with Computational Intelligence Techniques : Intelligent Technologies and Robotics (R0) - Mohamed Lahby
    Combating Fake News with Computational Intelligence Techniques
    Intelligent Technologies and Robotics (R0)
    Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh and Wael Mohamed Shaher Yafooz
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  • CRISPR-/Cas9 Based Genome Editing for Treating Genetic Disorders and Diseases - Luis María Vaschetto
    CRISPR-/Cas9 Based Genome Editing for Treating Genetic Disorders and Diseases
    Luis María Vaschetto
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  • Data Science in Engineering and Management : Applications, New Developments, and Future Trends - Zdzislaw Polkowski
    Data Science in Engineering and Management
    Applications, New Developments, and Future Trends
    Zdzislaw Polkowski
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