Электронный каталог

DDC 621.30285/63
A 67

    Applications of artificial intelligence in electrical engineering / / [edited by] Saifullah Khalid. - Hershey PA : : IGI Global, Engineering Science Reference,, [2020]. - 1 online resource (xxvi, 388 pages). : il. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/B43EF915-2276-490C-9280-525CDAD449B7. - ISBN 9781799827207 (electronic book). - ISBN 1799827208 (electronic book). - ISBN 1799827216. - ISBN 9781799827214 (electronic bk.)
Description based on online resource; title from digital title page (viewed on April 10, 2020).
Параллельные издания: Print version: : Applications of artificial intelligence in electrical engineering. - Hershey PA : Engineering Science Reference, [2020]. - ISBN 9781799827184
    Содержание:
Chapter 1. ANFIS-SCC control of shunt active power filter for minimization of harmonics for more electric aircraft system -- Chapter 2. Maximum likelihood-based fuzzy adaptive Kalman filter applied to state estimation of permanent magnet synchronous motors -- Chapter 3. Methodology for model-based fuzzy kalman filter design via singular spectral analysis of experimental data -- Chapter 4. Fuzzy logic PI controller -- Chapter 5. Design of fuzzy logic controller for up to 25mw hydropower plant -- Chapter 6. FLC technique in smart grid for demand side management -- Chapter 7. Application of fingerprint-matching algorithm in smart gun using touch-less fingerprint recognition system -- Chapter 8. Comparative critical analysis of artificial intelligent technique and conventional control technique applied in series filter for harmonic reduction -- Chapter 9. Double fed induction generator control for wind power generation -- Chapter 10. Application of novel techniques in active power filter -- Chapter 11. AI in cognitive radio networks: its role and applications -- Chapter 12. Comparison of artificial intelligence-based solutions applied to economic load dispatch problem -- Chapter 13. Comparative study of stereo correspondence techniques for underwater images -- Chapter 14. Introduction to machine learning and its application -- Chapter 15. Machine learning with R -- Chapter 16. Improved Design and optimization of IIR filters by cascading of ABC, PSO, and CA -- Chapter 17. Design of linear phase FIR low pass filter using mutation-based particle swarm optimization technique.
~РУБ DDC 621.30285/63

Рубрики: Electric controllers.

   Intelligent control systems.

   Electronic apparatus and appliances--Technological innovations.

   Electrical engineering--Data processing.

   Artificial intelligence.

   Artificial intelligence.

   Electric controllers.

   Electrical engineering--Data processing.

   Electronic apparatus and appliances--Technological innovations.

   Intelligent control systems.

Аннотация: "This book explores advancements in artificial intelligence with a focus on its application engineering"--

Доп.точки доступа:
Khalid, Saifullah, (1981-) \editor.\

DDC 808/.036
B 86

    Bridging the gap between AI, cognitive science, and narratology with narrative generation / / Takashi Ogata and Jumpei Ono, editors. - 4018/978-1-7998-4864-6. - Hershey PA : : IGI Global, Information Science Reference,, [2021]. - 1 online resource. ( час. мин.), 4018/978-1-7998-4864-6. - (Advances in human and social aspects of technology (AHSAT) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C041AAD5-1142-44DA-B685-FE9183FDD7BE. - ISBN 1799848655 (electronic book). - ISBN 9781799848653 (electronic bk.)
Description based on online resource; title from digital title page (viewed on October 09, 2020).
Параллельные издания: Print version: : Bridging the gap between AI, cognitive science, and narratology with narrative generation. - Hershey PA : Information Science Reference, [2021]. - ISBN 9781799848646
    Содержание:
Section 1. Cognitive approaches to narratology and narrative generation. Chapter 1. Cognitive transition and cutting techniques for narrative film rhetoric simulation ; Chapter 2. Multi-disciplinary paths to actor-centric non-player character emotion models ; Chapter 3. Extension of clinical/psychological approach using post narratology: the proposal of a psychological narratology and review for systematization ; Chapter 4. Defining the verbs for "understanding and interpretation" of Japanese sake ; Chapter 5. 300500 threshold of context memory and assumption experiment -- Section 2. Narrative generation systems and narrative content generation. Chapter 6. Bridging the gap between narrative generation systems and narrative contents with Kabuki-oriented narratology and watakushi monogatari ; Chapter 7. Haiku generation from narratological perspective: a circulation between Haikus and stories ; Chapter 8. On logical literary work generation and more ; Chapter 9. An analysis of cognitive elements and effects of video commercials: toward effective indexing and video production -- Section 3. Social perspectives of narratological and narrative generation methods. Chapter 10. Narrative generation using psychological value variables: probabilistic model of language expressions and values ; Chapter 11. Effect of external activate factors serving as clue: creating new products or services ideas with storytelling ; Chapter 12. Design of narrative creation in innovation: "signature story" and two types of pivots.
~РУБ DDC 808/.036

Рубрики: Rhetoric--Data processing.

   Discourse analysis, Narrative--Data processing.

   Cognitive science.

   Artificial intelligence.

   Artificial intelligence.

   Cognitive science.

Аннотация: "This book combines traditional theories of narratology with current narrative generation practices using artificial intelligence"--

Доп.точки доступа:
Ogata, Takashi, (1958-) \editor.\
Ono, Jumpei, (1987-) \editor.\

DDC 006.3/2
H 65
Hiesinger, Peter Robin,.
    The self-assembling brain : : how neural networks grow smarter / / Peter Robin Hiesinger. - Princeton : : Princeton University Press,, ©2021. - 1 online resource (xvi, 364 pages). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F41677E4-2BFF-462F-AC7A-A0AAE41BE5DC. - ISBN 0691215510 (electronic book). - ISBN 9780691215518 (electronic bk.)
Description based on online resource; title from digital title page (viewed on May 11, 2021).
Параллельные издания: Print version: : Hiesinger, Peter Robin. The self-assembling brain. - Princeton : Princeton University Press, [2021]. - ISBN 9780691181226
~РУБ DDC 006.3/2

Рубрики: Neural networks (Computer science)

   Neural circuitry--Adaptation.

   Learning--Physiological aspects.

   Artificial intelligence.

   Artificial intelligence.

   Neural circuitry--Adaptation.

   Neural networks (Computer science)

   SCIENCE / Life Sciences / Neuroscience

Аннотация: "In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--

DDC 621.39/81
I 56

    Implementing data analytics and architectures for next generation wireless communications / / Chintan Bhatt, Neeraj Kumar, Ali Kashif Bashir, Mamoun Alazab. - Hershey, PA : : Information Science Reference, an imprint of IGI Global,, [2022]. - 1 online resource (xiii, 227 pages) : : il. - (Advances in wireless technologies and telecommunication (AWTT) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/45878870-E5F2-42DC-8010-361F6C9C1BB1. - ISBN 1799869911 (electronic book). - ISBN 9781799869900 (electronic book). - ISBN 1799869903 (electronic book). - ISBN 9781799869917 (electronic bk.)
"Premier Reference Source" -- taken from front cover. Description based on online resource; title from digital title page (viewed on October 12, 2021).
Параллельные издания: Print version: : Implementing data analytics and architectures for next generation wireless communications. - Hershey, PA : Information Science Reference (an imprint of IGI Global), [2021]. - ISBN 9781799869887
    Содержание:
Implementing data analytics and architectures for next generation wireless communications / Chintan Bhatt, Charotar University of Science and Technology, India, Neeraj Kumar, Thapar University, India, Ali Kashif Bashir, Manchester Metropolitan University, United Kingdom, Mamoun Alazab, Charles Darwin University, Australia -- Evaluation of turbo decoder performance through software reference model / Manjunatha N, Jain (Deemed-To-Be-University), India, Raghu N, Jain (Deemed-To-Be-University), India, Kiran B, Jain (Deemed-to-be University), India -- Role of Zigbee protocol in smart home appliances / Sirineni Lakshmi, Aurora's Degree & PG College, Dr. Viswanadham Bulusu, Aurora's Degree & PG College, India, Hari Prasada Rao Javangula, Aurora's Degree & PG College, India.
~РУБ DDC 621.39/81

Рубрики: Computer network architectures.

   Big data.

   Wireless communication systems.

   Internet of things.

   Artificial intelligence.

   Réseaux d'ordinateurs--Architectures.

   Données volumineuses.

   Transmission sans fil.

   Internet des objets.

   Intelligence artificielle.

   artificial intelligence.

   Artificial intelligence.

   Big data.

   Computer network architectures.

   Internet of things.

   Wireless communication systems.

Аннотация: "This book covers the existing and emerging theoretical and practical challenges in the design, development and implementation of big data algorithms, protocols, architectures, and applications for next-generation wireless communications and their applications in smart cities"--

Доп.точки доступа:
Bhatt, Chintan M., (1988-) \editor.\
Kumar, Neeraj ((Computer scientist),) \editor.\
Bashir, Ali Kashif, (1982-) \editor.\
Alazab, Mamoun, (1980-) \editor.\

DDC 600
A 53

    Analyzing multidisciplinary uses and impact of innovative technologies / / Emiliano Marchisio, editor. - 4018/978-1-6684-6015-3. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : : IGI Global,, 2022. - 1 online resource (275 pages) ( час. мин.), 4018/978-1-6684-6015-3. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/0D0BFAE8-6631-4055-A828-E33A74A3CD65. - ISBN 9781668460177 (electronic bk.). - ISBN 1668460173 (electronic bk.)
Title screen (IGI Global, viewed 08/09/2022).
Параллельные издания: Print version: :
    Содержание:
Chapter 1. Technological variants and invariants: qualitative analysis of a basic training module for media education -- Chapter 2. Mediatization of musical and theatrical practice on the moodle platform: investigation of online resources -- Chapter 3. A comprehensive review of data mining usage in education -- Chapter 4. Assistive technology to promote the independence and quality of life of people with amyotrophic lateral sclerosis: a selective review -- Chapter 5. Non-invasive technologies in neurorehabilitation: novel neurorehabilitative treatments for motor and cognitive disorders -- Chapter 6. The role of museums in the development of sustainable tourism in calabria between infrastructural deficiencies and new communication technologies: focus on the amarelli company museum and on the musaba museum park -- Chapter 7. Earthquake risk prediction with artificial intelligence methods -- Chapter 8. Scaling of streaming data using machine learning algorithms -- Chapter 9. Active institutional investors: impact investing and some new trends the rise of the Generation Z -- Chapter 10. Blockchain and artificial intelligence: reflections seen from private international law -- Chapter 11. Digital resources for the preparation of a thesis in Roman law studies.
~РУБ DDC 600

Рубрики: Technological innovations.

   Artificial intelligence.

Аннотация: Technology faces rapid advancements every year, and each year, its uses in various facets of society increase and become more profound. Every discipline has adopted technology in some capacity. From FinTech in the business realm to phygital churches in the realm of religion, innovation is applicable everywhere. It is essential that professionals study how to use these advancements to their advantage and also to examine their impact on society and its multitude of sectors.

Доп.точки доступа:
Marchisio, Emiliano, \editor.\
IGI Global,

DDC 630.2/086
H 22

    Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering [[electronic resource].]. - [Б. м.] : Engineering Science Reference, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/65165B76-500D-4C3F-AF98-E8E1B0AD6189. - ISBN 1799812189. - ISBN 9781799812180 (electronic bk.)
    Содержание:
Obtaining and using of biogas in agricultural production / Sergey Devyanin, Russian State Agrarian University -Moscow Timiryazev Agricultural Academy, Russian Federation, Vladimir Markov, Moscow State Technical University named after N.E. Bauman, Russian Federation, Andrei Savastenko, Moscow State Technical University (MADI), Russian Federation -- Modern Methods of Optimization in Models of Hydrothermal Coordination and Emission of Contaminating Particles in Power Generating Plants / Gilberto Pérez-Lechuga, University Autonomous of the Hidalgo State, Mexico -- Theoretical Studies of the Influence of the Elastic-Damping Mechanism in the Tractor Transmission : On the Functioning of the Machine-Tractor Unit / Sergey Senkevich, Federal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", Russian Federation, Vladimir Kravchenko, FSBEI HE "Don State Agrarian University", Russian Federation, Pavel Lavrukhin, FSBEI HE "Don State Agrarian University", Russian Federation, Pavel Ivanov, FSBEI HE "Don State Agrarian University", Russian FederationAnna Senkevich, FSBEI HE "Don State Agrarian University", Russian Federation.
~РУБ DDC 630.2/086

Рубрики: Electricity in agriculture--Data processing.

   Renewable energy sources--Data processing.

   Remote area power supply systems.

   Artificial intelligence.

   Artificial Intelligence

   Électricité en agriculture--Informatique.

   Énergies renouvelables--Informatique.

   Réseaux électriques autonomes en régions éloignées.

   Intelligence artificielle.

   artificial intelligence.

   Artificial intelligence.

   Remote area power supply systems.

   Renewable energy sources--Data processing.

Аннотация: "This book examines the benefits and barriers of implementing computational models to agricultural production and energy sources as well as how these models can produce more cost-effective and sustainable solutions"--

DDC 362.10285
I 69

    Intelligent systems for healthcare management and delivery / / Nardjes Bouchemal, editor. - Hershey, PA : : Medical Information Science Reference,, [2019]. - 1 online resource. - (Advances in healthcare information systems and administration (AHISA) book series,). - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/8D4E23BC-B8CF-4E49-9DC1-3EC289B28545. - ISBN 9781522570721 (electronic bk.). - ISBN 1522570721 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Intelligent systems for healthcare management and delivery. - Hershey, PA : Medical Information Science Reference, [2019]. - ISBN 9781522570714
    Содержание:
Healthcare IoT architectures, technologies, applications and issues : a deep insight / Karthick GS, Pankajavalli PB -- Application of big data in digital epidemiology / Sameena Naaz, Farheen Siddiqui -- An ambient multi-agent system for healthcare monitoring of patients with chronic diseases / Imane Boussebough, Issam Eddine Chaib, Billel Boudjit -- Data analysis and integration in healthcare / Kara Evans, Elizabeth Baoying Wang -- Artificial intelligence in medical science / Shashwati Mishra, Mrutyunjaya Panda -- Research investigation and analysis on behavioural analytics, neuro imaging and pervasive sensory algorithms and techniques for autism diagnosis / Sasikala R., Sureshkumar N., John Vijay Sagar Kommu K. -- A forecasting model for patient arrivals of an emergency department in healthcare management systems / Melih Yucesan, Muhammet Gul, Suleyman Mete, Erkan Celik -- Application of AI for design of computer aided diagnosis system to detect breast cancer / Arnab Chattaraj, Arpita Das -- CaBANet : cloud assisted body area network for smart healthcare delivery system / M. Ambigavathi -- Deep learning and medical imaging / -- Nourhan Zayed, Heba Elnemr.
~РУБ DDC 362.10285

Рубрики: Artificial intelligence--Medical applications.

   Information storage and retriefval systems.

   Medical informatics.

   Diagnosis--Data processing.

   Artificial intelligence.

   Artificial Intelligence

   Health Information Systems

   Medical Informatics Applications

   Diagnosis, Computer-Assisted

   Intelligence artificielle en médecine.

   Médecine--Informatique.

   Diagnostics--Informatique.

   Intelligence artificielle.

   artificial intelligence.

   POLITICAL SCIENCE--Public Policy--Social Security.

   POLITICAL SCIENCE--Public Policy--Social Services & Welfare.

   Artificial intelligence--Medical applications.

   Diagnosis--Data processing.

   Medical informatics.

Аннотация: "This book explores relevant and advanced methodological, technological and scientific approaches related to the application of sophisticated exploitation of artificial intelligence in intelligent systems for healthcare management and delivery. It also provides an insight of the technologies and intelligent applications that have received growing attention in recent years from various perspectives"--Provided by publisher

Доп.точки доступа:
Bouchemal, Nardjes, (1977-) \editor.\

DDC 616.07/50028563
D 53

    Diagnostic applications of health intelligence and surveillance systems / / [edited by] Divakar Yadav, Abhay Bansal, Madhulika Bhatia, Madhurima Hooda, Jorge Morato. - 4018/978-1-7998-6527-8. - Hershey, PA : : IGI Global, Medical Information Science Reference,, [2021]. - 1 online resource (xx, 332 pages). : il ( час. мин.), 4018/978-1-7998-6527-8. - (Advances in medical technologies and clinical practice (AMTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/7172A578-77DB-4B9B-8829-30C676607FB2. - ISBN 1799865282 (electronic book). - ISBN 9781799865285 (electronic bk.)
Description based on online resource; title from digital title page (viewed on May 17, 2021).
Параллельные издания: Print version: : Diagnostic applications of health intelligence and surveillance systems. - Hershey, PA : Medical Information Science Reference, [2021]. - ISBN 9781799865278
    Содержание:
Chapter 1. Review of data mining techniques used in healthcare -- Chapter 2. Detection of diabetic retinopathy with mobile application using deep learning -- Chapter 3. Android-based skin cancer recognition system using convolutional neural network -- Chapter 4. Mhealth: a resolution in improving global health -- Chapter 5. Computational studies in breast cancer -- Chapter 6. The role of genetic data analysis for precision therapy in cancer: personalized medicine concept in cancer treatment -- Chapter 7. The role of e-health interventions in improving clinical outcomes and overall health for prostate cancer patients: a review -- Chapter 8. Incautious usage of social media: impact on emotional intelligence and health concerns -- Chapter 9. Epileptic seizure detection using machine learning techniques -- Chapter 10. Public health surveillance system: infectious diseases -- Chapter 11. Applications of nanoparticles in various fields -- Chapter 12. Internet of things (IoT) in healthcare -- Chapter 13. IoT on healthcare using clinical decision support system.
~РУБ DDC 616.07/50028563

Рубрики: Artificial intelligence--Medical applications.

   Diagnosis--Technological innovations.

   Medical informatics.

   Public health surveillance.

   Medicine--Data processing.

   Artificial intelligence.

   Artificial Intelligence

   Diagnostic Techniques and Procedures

   Medical Informatics Applications

   Public Health Surveillance

   Medical Informatics

   Intelligence artificielle en médecine.

   Diagnostics--Innovations.

   Médecine--Informatique.

   Santé publique--Surveillance.

   Intelligence artificielle.

   Diagnostics--Méthodologie.

   artificial intelligence.

   Public health surveillance.

   Artificial intelligence--Medical applications.

   Artificial intelligence.

   Diagnosis.

   Medical informatics.

Аннотация: "The book is a great reference about the various application and scientific work going on in this area of how AI is driving the Health sector and helping health practitioners to predict disease intensity using the latest technology"--

Доп.точки доступа:
Yadav, Divakar, (1976-) \editor.\
Bansal, Abhay, \editor.\
Bhatia, Madhulika, (1984-) \editor.\
Hooda, Madhurima, (1985-) \editor.\
Morato, Jorge, (1967-) \editor.\

DDC 616.07/54
A 28

    AI innovation in medical imaging diagnostics / / Kalaivani Anbarasan, editor. - Hershey, PA : : Medical Information Science Reference,, [2020]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/05B9794F-19B2-4EA7-B91F-B6E902D72FC7. - ISBN 1799830934. - ISBN 9781799830931 (electronic bk.)
Print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : AI innovation in medical imaging diagnostics. - Hershey, PA : Medical Information Science Reference, [2020]. - ISBN 9781799830924
    Содержание:
Ant colony optimization (ACO) based improved edge detection algorithm for segmentation of brain tumor / Devi Thiyagarajan, Deepa Narayanan -- Intelligent mental health analyzer by biofeedback : app and analysis / Rohit Rastogi, Devendra Chaturvedi, Mayank Gupta -- Deep learning based assistive healthcare application for cervical cytology diagnosis and prognosis / Elakkiya, R. -- Detection of tumor from brain MRI images using supervised and unsupervised methods / Kannan, S., Anusuya, S. -- Deep learning based Parkinson's disease prediction system / Padmapriya, G., Elakkiya, R., Aruna, M., Arthi, B. -- A novel method to diagnos the epileptic seizure using machine learning algorithms and scalp EEG signals / Rashmita Khilar -- An automated computer diagnosis system for women breast cancer using deep learning / Kalaivani Anbarasan, Charlyn Puspalatha -- Artificial intelligence perspective on precision medicine / Rehab A. Rayan -- Intracranial hemorrahage detection using convolutional neural network / M. Raja Suguna -- Machine learning algorithm for medical image analysis / M. Vinoth Kumar, G. Padmapriya -- Machine learning in health care / Debasree Mitra, Apurba Paul, Sumanta Chatterjee.
~РУБ DDC 616.07/54

Рубрики: Artificial Intelligence.

   Diagnostic Imaging--methods.

   Deep Learning.

   Machine Learning.

   Artificial intelligence.

   Diagnostic imaging.

Аннотация: "This book examines the application of artificial intelligence in medical imaging diagnostics"--

Доп.точки доступа:
Anbarasan, Kalaivani, (1975-) \editor.\

DDC 616.1/23
L 62

    Leveraging AI technologies for preventing and detecting sudden cardiac arrest and death / / Pradeep Nijalingappa, Sandeep Kautish, Mangesh Ghonge and Renjith Ravi, editors. - Hershey, PA : : Medical Information Science Reference,, [2022]. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/81FF1B71-9A66-4630-AF9E-072E34E7C091. - ISBN 1799884457. - ISBN 9781799884453 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Leveraging AI technologies for preventing and detecting sudden cardiac arrest and death. - Hershey, PA : Medical Information Science Reference, [2022]. - ISBN 9781799884439
~РУБ DDC 616.1/23

Рубрики: Artificial intelligence.

   Heart Arrest--prevention & control

   Death, Sudden, Cardiac--prevention & control

   Artificial Intelligence

   Decision Support Systems, Clinical

   Intelligence artificielle.

   artificial intelligence.

   Artificial intelligence.

Аннотация: "This book discusses how AI technologies can assist physicians to make better clinical decisions enabling early detection of subclinical organ dysfunction, through the use of clinically relevant information that can be found in the massive amount of data and, thus, improving quality and efficiency of healthcare delivery"--

Доп.точки доступа:
Pradeep, Nijalingappa, (1977-) \editor.\
Kautish, Sandeep, (1981-) \editor.\
Ghonge, Mangesh, (1984-) \editor.\
Ravi, Renjith, (1985-) \editor.\