Futuristic e-governance security with deep learning applications / edited by: Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Ya'akub, Madhu Gaur, Sanjeev Kumar.

Format Electronic
Publication InfoHershey PA : Information Science Reference, [2024]
Description1 online resource.
Supplemental ContentFull text available from InfoSci-Books
Subjects
Deep learning (Machine learning)--Industrial applications. --Case studies.
Computer security--Case studies.

Other author/creatorKumar, Rajeev, 1985-
Other author/creatorAbdul Hamid, Abu Bakar, 1967-
Other author/creatorNoor Inayah Ya'akub, 1985-
Other author/creatorGaur, Madhu, 1974-
Other author/creatorKumar, Sanjeev, 1983-
Contents Reinforcement learning-driven optimization of convolutional neural networks for plant disease classification / Iti Sharma, Nimish Kumar, Himanshu Verma -- Enhancement of the electronic governance security infrastructure utilizing deep learning techniques / Ratnesh Kumar Shukla, Arvind Tiwari -- Biomedical image analysis for lung cancer detection using using deep learning / Amit Singh, Rakesh Dwivedi, Rajul Rastogi -- Strategic challenges of human resources management in the industry 6.0 / Sonal Pathak, Kavita Arora, Suhail Quraishi -- Unmasking of heart diseases symptoms using the COVID 19 vaccine dataset in Twitter : text feature extraction, sentiment analysis / Shyamala Devi N, Sharmila, Grace Hannah J -- Predictive patient-centric healthcare : a novel algorithm for recommending learning applications / Ajay Gadicha, Vijay Gadicha, Mohammad Zuhair -- A study on green marketing products and green marketing practices in India / Pradeep Singh, Murad Ali, Sumit Kumar, Ratnesh Shukla -- Deep learning-based soil nutrient content prediction for crop yield estimation / Iti Sharma, Nimish Kumar, Himanshu Verma -- Cryptocurrency & bitcoin : international economy & cybersecurity / Akshat Negi, Agrim Tamak, Saurabh Rawat, Anushree Sah -- Advancements in machine learning and deep learning for intelligent systems in small aircraft applications : models and approaches / Sampath Boopathi -- A comparative investigation into the operation of an optimal control problem - the maximal stretch / Anurag Dutta, K Lakshmanan.
Abstract "The book focuses on the recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-art methods, methodologies and implementation, attacks, and their countermeasures"-- Provided by publisher.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record.
Issued in other formPrint version: Futuristic e-governance security with deep learning applications Hershey PA : Information Science Reference, [2024] 9781668495964
Genre/formElectronic books.
LCCN 2023049096
ISBN9781668495988 (ebook)
ISBN(hardcover)
ISBN(paperback)

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