[HTML][HTML] Machine learning in agriculture domain: A state-of-art survey

V Meshram, K Patil, V Meshram, D Hanchate… - Artificial Intelligence in …, 2021 - Elsevier
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …

Blockchain‐Envisioned Secure Authentication Approach in AIoT: Applications, Challenges, and Future Research

M Wazid, AK Das, Y Park - Wireless Communications and …, 2021 - Wiley Online Library
The Artificial Intelligence of Things (AIoT) is the amalgamation of Artificial Intelligence (AI)
methods and the Internet of Things (IoT) infrastructure, which are deployed there to improve …

Personal identification using an ensemble approach of 1D-LSTM and 2D-CNN with electrocardiogram signals

JA Lee, KC Kwak - Applied Sciences, 2022 - mdpi.com
Conventional personal identification methods (ID, password, authorization certificate, etc.)
entail various issues, including forgery or loss. Technological advances and the diffusion …

Cyber crime investigation: Landscape, challenges, and future research directions

C Horan, H Saiedian - Journal of Cybersecurity and Privacy, 2021 - mdpi.com
As technology has become pivotal a part of life, it has also become a part of criminal life.
Criminals use new technology developments to commit crimes, and investigators must adapt …

Towards trustworthy autonomous systems: Taxonomies and future perspectives

F Flammini, C Alcaraz, E Bellini… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
The class of Trustworthy Autonomous Systems (TAS) includes cyber-physical systems
leveraging on self-x technologies that make them capable to learn, adapt to changes, and …

Deepfakes: evolution and trends

R Gil, J Virgili-Gomà, JM López-Gil, R García - Soft Computing, 2023 - Springer
This study conducts research on deepfakes technology evolution and trends based on a
bibliometric analysis of the articles published on this topic along with six research questions …

Digital forensics AI: evaluating, standardizing and optimizing digital evidence mining techniques

AA Solanke, MA Biasiotti - KI-Künstliche Intelligenz, 2022 - Springer
The impact of AI on numerous sectors of our society and its successes over the years
indicate that it can assist in resolving a variety of complex digital forensics investigative …

Digital forensics and strong AI: A structured literature review

J Faehndrich, W Honekamp, R Povalej… - Forensic Science …, 2023 - Elsevier
Forensics is an established field of research. Digital forensics started 44 years ago with the
Florida Computer Crimes Act (1978) including legislation against the unauthorized …

Autonomous artificial intelligence systems for fraud detection and forensics in dark web environments

R Rawat, O Oki, RK Chakrawarti, TS Adekunle… - Informatica, 2023 - informatica.si
Artificial Intelligence (AI) influenced technical aspects of research for generating automated
intelligent behaviors covering divergent domains but has shown appreciable results when …

Use of Artificial Intelligence for Image Processing to Aid Digital Forensics: Legislative Challenges

R Gupta, M Mane, S Bhardwaj, U Nandekar… - … of Research on Thrust …, 2023 - igi-global.com
Use of artificial intelligence for image processing to aid digital forensics is a controversial
topic. Some people believe that AI can be very helpful in this field, while others are …