Titlebook: Computational Intelligence in Digital Forensics: Forensic Investigation and Applications; Azah Kamilah Muda,Yun-Huoy Choo,Sargur N. Srihar

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Strategic Trading in Illiquid Marketsed for face recognition across different poses from 0 to 90°. Also, various registration approaches that are able to generalize identity, illumination and can also handle a given set of poses have been discussed in later sections. Also, several approaches used in the field of three dimensional face

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Strategic Trading in Illiquid Marketsit is implicitly represented by unique individual significant features that are hidden in individual’s handwriting. These unique features can be used to identify the handwritten authorship accordingly. The use of feature selection as one of the important machine learning task is often disregarded in

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Manuel Hensmans,Gerry Johnson,George Yip of iteratively refining Hidden Markov Model (HMM) speech labels for improved intelligibility is introduced. Third, a simulation of the distortion from a quantised R-bit and computation of the Signal-to-Noise Ratio (SNR) for the signal to quantisation noise is carried out for the purpose of managing

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Book 2014nce in digital forensics. This edited volume contains seventeen chapters and presents the latest state-of-the-art advancement of Computational Intelligence in Digital Forensics; in both theoretical and application papers related to novel discovery in intelligent forensics. The chapters are further o

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Limitations and future researchs, and the internet to operate and improve their business. Thus, a large amount of information is produced, accumulated, and distributed via electronic means. Consequently, government and company interests in cyberspace and private networks become vulnerable to cyberspace threats. The investigation