Penetration testing is one of the core aspects of network security in today's scenario. It involves a complete analysis of the system by implementing real-life security tests. It helps in identifying potential weaknesses in the system's major components which can occur either in its hardware or software. The reason which makes...

IN RECENT YEARS, MOBILE DEVICES have gained popularity due to lower costs, small and sleek sizes, and the capability to act as a computer with you at all times. The increased use of mobile devices has created new issues for developers and network administrators, such as how to secure the devices, how to deal with increases in bandwidth, and...

SAP SCM: Applications and Modeling for Supply Chain Management empowers you to capitalize on the sophistication of SAP APO. This book provides clear advice on the inevitable, critical decisions that can lead to project success or failure and shows you, wherever you are on the supply chain management staff—buyer, planner, ground...

Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within...

This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and...

• Learn about Apache Lucene and ElasticSearch design and architecture to fully understand how this great search engine works
• Design, configure, and distribute your index, coupled...

Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range...