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MACHINE LEARNING EXPLAINED: A PRACTICAL GUIDE TO DATA-DRIVEN DECISION MAKING
During the course of the process of making a choice, we rely on a variety of presumptions, premises, and the circumstances; all of this is directed by the goal that is related with the decision itself. However, the premises and the knowledge of the corporation are dependent on our data since they are an essential component of our organization as a system. The context and the assumptions are both external factors that are beyond the control of any decision maker. Both the background and the assumptions represent outside forces that are not within the control of any decision maker. A prominent example of a conceptual error is the misunderstanding that exists between data and information, which...
UNLEASHING THE POWER OF AI: A COMPREHENSIVE GUIDE TO ADVANTAGES AND DISADVANTAGES IN DIFFERENT INDUSTRIES
The term "artificial intelligence" (AI) refers to a category of computing technologies that have become increasingly advanced in recent years. This study presents an overview that is easily understandable of how it works, why it is important, and what we can do as a reaction to the difficulties that it poses. Since the beginning of the field of artificial intelligence, the capacity to behave in a way that gives the impression of intelligence has been the primary emphasis of the concept of AI. Several variations of the 'Turing test' determine that computers are intelligent when people are unable to distinguish between their behaviors and those of a person. The disruptive power of artificial i...
MACHINE LEARNING IN HEALTHCARE
The study of how data pertaining to healthcare may be gathered, transferred, processed, stored, and retrieved is what is known as the field of healthcare informatics. Early illness prevention, early disease detection, early disease diagnosis, and early disease therapy are all essential components of this field of research. Within the realm of healthcare informatics, the only types of data that are considered reliable are those that pertain to illnesses, patient histories, and the computing procedures that are required to interpret this data. Conventional medical practices throughout the United States have made significant investments in state-of-the-art technological and computational infras...
THEORY AND APPLICATIONS IN DEEP LEARNING
Deep learning is a subfield of computer science that is currently focusing the majority of its attention on the areas of video, picture, text, and speech recognition, in addition to autonomous driving, robotics, healthcare, and other areas. This is in addition to other areas such as robotics and healthcare. Academics and academicians are currently showing a significant amount of interest in the field of deep learning. This is because it is a subfield of study that focuses a significant emphasis on achieving outcomes, which explains why this is the case. Rina Dechter was the first person to use the phrase "deep learning" in 1986, and the building of an intelligent computer that could emulate ...
DEEP LEARNING FOR COMPUTER VISION
In the most recent few years, tremendous technical progress has been made in the creation of high-throughput graphics processing units in addition to parallel processing. Processing in parallel has allowed for the realisation of these recent advancements. (GPUs). The amount of computational power that is now accessible has significantly risen, yet the needed amount of power consumption has stayed the same. Highperformance parallel processing units are now accessible at a price that is affordable for almost everyone. This is because many of these systems are developed for the consumer market to deliver high-definition gaming experiences. Although they have been considerably altered to make g...
International Journal of Science, Technology, Engineering and Mathematics
International Journal of Science, Technology, Engineering and Mathematics (IJSTEM) is an open-access refereed journal focused recent developments relative to biomedical science, software applications development, modelling and systems design, and mathematics education research. It is a selective multi-track journal, covering all aspects of biomedical engineering, nanotechnology, solving and expressing mathematical problems with digital tools, mathematical modelling, networking and information security as well as their involvement in the telecom market, contemporary computer technologies and applications, computer vision, advanced computer research and topics in mechatronics.
International Journal of Science Technology Engineering and Mathematics
International Journal of Science, Technology, Engineering and Mathematics (IJSTEM) is an open-access peer-reviewed quarterly journal focused on recent developments and broad aspects relative to science, information technology, engineering and mathematics. The journal also celebrates the wide spectrum of STEM education accross all educational levels. It is a selective multi-track journal covering all aspects of STEM and STEM education.
Emerging Technologies for Health Literacy and Medical Practice
Emerging Technologies for Health Literacy and Medical Practice unveils a transformative revolution brought about by emerging technologies, setting the stage for a paradigmatic shift from reactive medical interventions to proactive preventive measures. This transition has not only redefined the doctor-patient relationship but has also placed patients at the helm of their health management, actively engaged in informed decision-making. The book, a collective effort by experts across diverse disciplines, stands as an authoritative compendium delving into the profound implications of cutting-edge technologies in healthcare. From the tantalizing realm of artificial intelligence powering diagnosti...
Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning
Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these techno...
Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time Systems
The Internet of Things (IoT) is revolutionizing manufacturing by enabling interconnected systems that enhance data collection, human-machine interaction, and intelligent control processes. However, the complexity of modern industrial environments presents challenges for signal processing, a critical component of IoT efficiency. Advances in intelligent, cost-effective, and energy-efficient signal processing algorithms are essential for overcoming these limitations and driving IoT innovation. Moreover, integrating IoT with technologies like artificial intelligence (AI), deep learning, and VLSI has expanded its applications, enabling more reliable, scalable, and compact solutions. These develop...
