Suchergebnisse

Classification of soil-stained textile surfaces using thermal camera / Ahmet Çagdas SEÇKIN, Mine Seçkin, Mehmet Deniz -- Face detection and recognition from distance based on deep learning / Hui Wang, Wei Qi Yan -- Crime prediction from video surveillance using deep learning / Jialiang Liu, Wei Qi Yan -- IoT-deep learning based detection of cyber security threats / Ramesh P., Dankan V., Kumaraswamy S., Pankaj Dadheech, Ansuman Samal -- Deep learning based AI modeling, intrusion detection / Madhab Choudhury, Madhab Choudhury, Chandrashekhar Azad -- Deep learning models for cyber security in IoT networks / Dankan V., Puneeth B.S., Shekhar R., Pankaj Dadheech, Thangadurai N. -- A review on forensic science and criminal investigation through deep learning framework / Pinaki Acharjya, Santanu Koley, Subhabrata Barman -- Deep learning based automatic student authentication / Sheetalrani Kawale, Swetha K.R., Swathi M., Namitha A.R., Dankan V.

It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks.