Vyas Vibha (37 results)

Condition: New. pp. 244.

Condition: New. pp. 244.

Condition: New. pp. 244.

N.A. Condition: New. ISBN:9788193299111 N.A.

Condition: New. pp. vi + 304.

Condition: New. pp. vi + 304.

Condition: New. pp. vi + 304.

Condition: New. pp. viii + 442.

Condition: New. pp. viii + 442.

Condition: New. pp. viii + 442 1st edition.

Contents 1 Understanding stress 2 Historical development of stress concept 3 Perspectives of stress 4 The effects of stress on health 5 Stress brain and immune system 6 Chest pain and stress 7 Stress and high blood pressure 8 Stress and heart disease 9 Cardiovascular system and stress 10 Stress and diabetes 11 Skin and stress 12 Acne and stress 13 Psoriasis and Stress 14 Smoking and stress 15 Concern and stress 16 Back pain and stress 17 Common cold and stress 18 Obesity and stress 19 Caregivers and stress 20 Crowding and stress 21 Asthama and stress 22 Diet and stress 23 Eatery disorders and stress 24 Constipation and stress 25 Headache and stress 26 Arthritis and stress 27 Stress and ulcers 28 Snoring and stress 29 Human stress response 30 Infertility and stress 31 Impotent and stress 32 Thyroid and stress 33 Allergies and stress 34 Dental problems and stress 35 Alcohol and stress 36 Wrinkles and stress 37 Insomnia and stress 38 Suicide and stress 39 Cholesterol and stress 40 Multiple sderosis and stress 41 Baldness and stress 42 Hair loss and stress 43 Aids and stress 44 Alzheimr?s and stress 45 Depression and stress 46 Fatigue and stress 47 Burnout and stress 48 Music and stress 49 Meditation and stress 50 Massage and stress 51 Aerobic exercise and stress 52 Laughter and stress 304 pp.…

Contents Preface 1 Meaning and process of personality development 2 Develop new ideas for personality development 3 Psychological relationship and personality development 4 Stress and personality development 5 Effective methods for personality development 6 Conflicts and personality development 7 How to develop personality skills 8 Developing your speaking skills 9 Improve your conversation skills 10 Significance of unconscious personality 11 Personality development through speech charity 12 Psychological analysis of personality 13 Personality development in group life 14 Essential skills for speech making 15 Scientific methods for personality development 16 Improve your listening skills 17 Improve your reading skills 18 Improve your writing skills 19 Importance of culture in personality development 20 Speech mechanism and body language 21 Parental attitude and personality development 22 Education and personality development 23 Improve your learning skills 24 Self confidence and personality traits 25 Essential environment for personality developmentThis book presents the vast and completed subject of personality development in a forthright and intelligible way The book is designed just to meet the needs of students interviewers and research scholars It endeavors to place before the reader the vast expansive scope variety and dynamism of the field of personality development in modern time 442 pp.…

Paperback. Condition: New. With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.…

Paperback. Condition: Brand New. 146 pages. 7.00x0.34x10.00 inches. In Stock.

Condition: New. Dr Kaustubh Sakhare, Sr. Data Scientist, System Engineering &amp Production Integration (SEPI), John Deer, Pune, India.Dr Vibha Vyas, Associate Professor, Department of Electronics and Telecommunication, College .

Taschenbuch. Condition: Neu. Neuware - With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.…

Paperback. Condition: New. With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. In English.

Hardback. Condition: New. With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.…

Hardcover. Condition: Brand New. 168 pages. 10.00x7.00x10.00 inches. In Stock.

Hardback. Condition: New. With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.…