Deepak Gupta

A true creation may or may not succeed this time but can be anytime. Most true creations are eternally ahead of their time. Do you feel, having a great focus is an easy task? Our world is delightful & queer, but the truth also comes along with it is also absurd and bizarre too. It's indeed essential to know we give appreciation and reward to those creators who tell us the weirdest truth of our lives, the truth we don't even accept until someone highlights it as good attributes but until then we all hide, thinking of those attributes as sickness. Affirmative, we are art creators and we believe purely in absolute harsh truth than in beautiful fancy lies. Every human on this earth is focused somewhere, and it can be in the positive or negative direction and, on that focus, we all build what we really imagine and desire. Definitely, we all are creating what we want. We love positivity and negativity both and it depends on where we undoubtedly want to focus our life. Do you know, self-employed people need more discipline than people who have employers in their jobs? If you are a creative person or have the potential to create work inspired by imaginations, then you may encounter the following questions! Do you feel hard to concentrate while undertaking creative work? Do you feel you lack discipline to follow your passion? Do you feel hard to get great ideas for your creations? Do you have a short concentration span for your work? Do you feel your environment affects your work? Hyperfocus Creativity is another book in the 30 Minutes Read series that aims on guiding our readers on how to build a great hyperfocused creativity state in less time and revive their fortune swiftly by creating the world class artistic creations. Only the rare people choose the work they passionately love.

Hyperfocus Creativity

Steve Jobs once said, people don't merely buy products. They buy compelling stories and are fascinated with the art of storytelling. Can you outsmart your potential customers when they look for your products and services? Is it indeed possible to make customers a precious part of your close family? It's significant, without knowing your customers well, you may create a superior product and still bring wrong customers to your shop; but remember, it's the most prime opportunity to create loyal customers. There's no necessity to have the demand of your product when you are launching it but if you really go deep into the most leading brands of the world like Apple, Rado, Nike, and Decathlon, you will know how you can also build a great customer base with focusing on necessary detailing of the products. You merely have to know yourself, your potential in the product and your product can itself do the most innovative marketing in the world. Most customers won't tell you the exact product they want, but they will definitely give you some hints along with problems. We believe, without developing a superior product, marketing is the most rapid way to kill your product and ultimately the brand itself. Customers have limited time and if you can think for them, they may not think frequently before buying your product. A superior product can be rejected, but a valued product can't be. Be more valued than looking good. Without a great product, no great marketing can sell it. With a good product, sometimes you don't even need great marketing. The Marketing Mess book will instruct you about how you can learn about promoting your brand and products and know the character of your customers. It depicts strategies that may force you to think again and again and these strategies are absolutely free to implement that will shift your thinking to a very next level.

Discover the Secrets of Promotion to Outsmart your Customers

Marketing Mess

The most loss happens to those who never think about loss. The most remarkable success comes to those who accept every result of their work. We don't have time, or we don't schedule our time. There’s a noteworthy difference. Do you ever feel astonished at how most popular celebrities including Jeff Bezos, J.K. Rowling, Mark Zuckerberg, Warren Buffet, Elon Musk, and many in addition, accomplish the highly rugged work efficiently and in a very peaceful manner? When we were arranging the mini blocks, Mark Zuckerberg created Facebook and became a billionaire in no time. You know, being extraordinarily productive is like utilizing our genuine potential. Most people don't recognize their actual potential because they never utilized it like hell in their work. Humans can work round the clock until they are exhausted. If we waste four hours a day, it means we are losing double the hours of productivity. If pain is passing in your life, don't stick to it. Let it go as rapidly as it can. If pleasure is passing in your life, grab the moment and hold it. The Rules of Being Highly Productive book will impart you the most wholesome lessons of your life, including: ★ Four Dots of being Highly Productive ★ How to Fool your Mind with 125% Rule ★ The Ordinary Rules of Extraordinary People ★ How to enjoy Money & Life consistently ★ How to Setup Coordination between Conscious & Subconscious Mind ★ The Art of Work ★ How to Protect Time in Unique Ways ★ The Habits of Strict People ★ How to Waste your Time! ★ The Methods of Night Owls It's not about waking up at 5am, but critical is, what you undertake at 5am. It's not about how early you go to bed, but how peacefully you sleep with your time.

The Rules of Being Highly Productive

I always asked mom about my father, but she always told me, ‘Your father came for a night to ruin my whole life.' A Story about Dreams, Hope and Death Oh, I am sorry. I’m extremely sorry; I usually forget introducing myself. I’m Amanda, a plain sailing girl who loves to explore love and life in an adventurous way. Everyone has a story for being a different personality, and I have also. I was born poor to raise my old mother instead of she raised me. I am glad that my old mother gave me my first home for nine months. Happiness is hard for our family and sometimes even the hardest. I know when babies are born, they cry, but when I was born, I and my mom both were crying because I had entered a world where cruelty is always the first choice. I had never seen my father so, I was never called to be daddy’s princess, but a normal girl who has no right to see her dreams, not even when I am sleeping.

The Girl With No Dreams

We run for the activities which provide us instant results, and just because of it most of us are doing jobs and the work we never wanted to do in our life. We chase work even when we don't want to. We always want to do something great in life but overlook the beautiful aspect of it; The Power of Nothing. No one teaches us there is something beyond formal education. We are innocent and accept everything. They say, and we do. I know the title is very peculiar than your expectations, and if you really want to break glass plate on my head, then do it now, because after reading the book, you will not do that. Now, the author has come up with the art we repeatedly ignore.

They say and We do

The Power of Nothing

Powerful Quotes

From the Bestselling Author of ‘The Power of Nothing’ and ‘10 Principles to Beat Failure’, the author has come up with the Second Book of 10 Principles Series, 10 Principles to Love Yourself. “At least love yourself before loving others” I know the title is much known to the readers but we disregard the lessons we know much in our life. When we born and begin our life, we meet different people with different attributes to achieve our purpose of life. Some teach us lessons while some remain with us but this is not the way we should live our life. We think we are candid and the finest curtain in front of the window but life doesn’t work like that. Most of the people waste their half of the life chasing the hoax dreams, pretending to be theirs. If you don’t know who you are then you will never be able to know what you will become. “We have many unconscious thoughts in our mind. When we think 100% we should write only 1% which should be best, precise and useful.”

10 Principles To Love Yourself: How to Start your Day and Sleep Peacefully

Valentina Emilia Balas

Hemanth D. Jude

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems

Challenges and Solutions

Intelligent Data Analysis for Biomedical Applications

Ashish Khanna

Aboul Ella Hassanien

Giancarlo Fortino

Vineet Kansal

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.

DoSCI 2021

Proceedings of Second Doctoral Symposium on Computational Intelligence

Mukesh Prasad

Sonali Agarwal

Koj Sambyo

This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).

Advanced Machine Intelligence and Signal Processing

Kavita Sharma

Gulshan Shrivastava

This book presents a comprehensive study of different tools and techniques available to perform network forensics. Also, various aspects of network forensics are reviewed as well as related technologies and their limitations. This helps security practitioners and researchers in better understanding of the problem, current solution space, and future research scope to detect and investigate various network intrusions against such attacks efficiently. Forensic computing is rapidly gaining importance since the amount of crime involving digital systems is steadily increasing. Furthermore, the area is still underdeveloped and poses many technical and legal challenges. The rapid development of the Internet over the past decade appeared to have facilitated an increase in the incidents of online attacks. There are many reasons which are motivating the attackers to be fearless in carrying out the attacks. For example, the speed with which an attack can be carried out, the anonymity provided by the medium, nature of medium where digital information is stolen without actually removing it, increased availability of potential victims and the global impact of the attacks are some of the aspects. Forensic analysis is performed at two different levels: Computer Forensics and Network Forensics. Computer forensics deals with the collection and analysis of data from computer systems, networks, communication streams and storage media in a manner admissible in a court of law. Network forensics deals with the capture, recording or analysis of network events in order to discover evidential information about the source of security attacks in a court of law. Network forensics is not another term for network security. It is an extended phase of network security as the data for forensic analysis are collected from security products like firewalls and intrusion detection systems. The results of this data analysis are utilized for investigating the attacks. Network forensics generally refers to the collection and analysis of network data such as network traffic, firewall logs, IDS logs, etc. Technically, it is a member of the already-existing and expanding the field of digital forensics. Analogously, network forensics is defined as "The use of scientifically proved techniques to collect, fuses, identifies, examine, correlate, analyze, and document digital evidence from multiple, actively processing and transmitting digital sources for the purpose of uncovering facts related to the planned intent, or measured success of unauthorized activities meant to disrupt, corrupt, and or compromise system components as well as providing information to assist in response to or recovery from these activities." Network forensics plays a significant role in the security of today’s organizations. On the one hand, it helps to learn the details of external attacks ensuring similar future attacks are thwarted. Additionally, network forensics is essential for investigating insiders’ abuses that constitute the second costliest type of attack within organizations. Finally, law enforcement requires network forensics for crimes in which a computer or digital system is either being the target of a crime or being used as a tool in carrying a crime. Network security protects the system against attack while network forensics focuses on recording evidence of the attack. Network security products are generalized and look for possible harmful behaviors. This monitoring is a continuous process and is performed all through the day. However, network forensics involves post mortem investigation of the attack and is initiated after crime notification. There are many tools which assist in capturing data transferred over the networks so that an attack or the malicious intent of the intrusions may be investigated. Similarly, various network forensic frameworks are proposed in the literature.

Modern Principles, Practices, and Algorithms

Cyber Crime and Forensic Computing

Aditya Khamparia

Mahmoud Ragab

Romany Fouad Mansour

AI-ENABLED 6G NETWORKS AND APPLICATIONS Provides authoritative guidance on utilizing AI techniques in 6G network design and optimization Written and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields. AI-Enabled 6G Networks and Applications includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks. Reviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum management Describes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy management Identifies and provides solutions to problems in current 4G/5G networks and emergent 6G architectures Discusses privacy and security issues in IoT-enabled 6G Networks Examines the use of machine learning to achieve closed-loop optimization and intelligent wireless communication AI-Enabled 6G Networks and Applications is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering.

AI-Enabled 6G Networks and Applications

Everyone is shattered these days, and there's no one who doesn't get hurt in his life, but that doesn't mean we break our hearts every day for everyone. People give us pain, and we try to heal it. I always think when I was a little child, I was never as miserable as today as I am. Why? Because we are growing unhappiness and guilt in our minds. In the world of silence, we are broken inside with loud noise. We don't know what we really want. Some days we are exceptionally delighted, while some days we are intensely depressed. Why we aren't capable to be stable for both happiness and sadness. People can offer happiness and riches but not the healing process. Why? People think if they can live alone with ignorance then they can heal, but it's not the actual process of healing.

How To Heal Yourself

Siddhartha Bhattacharyya

Sameer Anand

Ajay Jaiswal

This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Proceedings of ICICC 2022, Volume 1

International Conference on Innovative Computing and Communications

Oscar Castillo

Zdzislaw Polkowski

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

ICDAM 2021, Volume 2

Proceedings of Data Analytics and Management

Václav Snásel

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.

Challenges and Applications

Hybrid Computational Intelligence

This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Proceedings of ICICC 2020, Volume 1

This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG). .

Deepak Gupta

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