Waseem Ahmad Mir

• M-Tech
• Researcher at Aligarh Muslim University

The increasing popularity of deep learning (DL) leads to new applications and possibilities, the fast advancement of techniques, and the development of new domains by combining several algorithms. Deep learning and ensemble deep learning (EDL) are widely used strategies that consistently provide exceptional performance across several tasks. EDL is...

The progression of biotechnological and health science fields has instigated a substantial proliferation of data, encompassing high-throughput genetic information and extensive clinical data derived from expansive electronic health record repositories. In the domain of biosciences, the indispensability of machine learning and data mining methodolog...

A major objective of this book series is to drive innovation in every aspect of Artificial Intelligent. It offers researchers, educators and students the opportunity to discuss and share ideas on topics, trends and developments in the fields of artificial intelligence, machine learning, deep learning and more, big data and computer science, compute...

Detecting brain disorders using deep learning methods has received much hype during the last few years. Increased depth leads to more computational efficiency, accuracy, and optimization and less loss. Epilepsy is one of the most common chronic neurological disorders characterized by repeated seizures. We have developed a deep learning model using...

In almost every sector, data-driven business, the digitization of the data has generated a data tsunami. In addition, man-to-machine digital data handling has magnified the information wave by a large magnitude. There has been a pronounced increase in digital applications in agricultural management, which has impinged on information and communicati...

Artificial Intelligence (AI) is creating a revolution in the healthcare industry with its recent developments in organized and amorphous data and quick progress in analytic techniques. The usefulness of AI in healthcare is being recognised at the same time as people begin to be concerned with the possible lack of explainability and bias in the mode...

Recent developments in Artificial intelligence and their applications in Medical health diagnosis have shown promising results especially in the diagnosis of brain disorders, thereby paving the way for better healthcare and early detection of Neural disorders. Several diagnostic tests are routinely performed on humans to evaluate the nature of brai...

Wireless Sensor Networks in recent times have been intensively studied owing to their ubiquitous nature, small size and limited resources. Decreasing size along with smart technological advances have enabled them to be applied extensively ranging from ecological monitoring, target tracking to the vast fields of defence and security. Wireless Sensor...

Wireless sensor networks are enabling applications that previously were not practical. As new standards based networks are released and low power systems are continually developed, we will start to see the widespread deployment of wireless sensor networks in future. One of the pioneering aspects of WSNs is to provide reliable and efficient routing...