Results 11 to 20 of about 1,166 (183)

Internet of Things with Deep Learning-Based Face Recognition Approach for Authentication in Control Medical Systems.

Comput Math Methods Med, 2022
Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role in many applications, including medical and healthcare systems. It can help users in this field get an advantage in terms of enhanced touchless authentication, especially in spreading infectious diseases like coronavirus disease 2019 (COVID‐19).
Hussain T, Hussain D, Hussain I, AlSalman H, Hussain S, Ullah SS, Al-Hadhrami S.   +6 more
europepmc   +2 more sources

Banana Plant Disease Classification Using Hybrid Convolutional Neural Network. [PDF]

Comput Intell Neurosci, 2022
Banana cultivation is one of the main agricultural elements in India, while the common problem of cultivation is that the crop has been influenced by several diseases, while the pest indications have been needed for discovering the infections initially for avoiding the financial loss to the farmers.
Narayanan KL, Krishnan RS, Robinson YH, Julie EG, Vimal S, Saravanan V, Kaliappan M.   +6 more
europepmc   +2 more sources

College Smart Classroom Attendance Management System Based on Internet of Things. [PDF]

Comput Intell Neurosci, 2022
Since entering the information age, educational informatization reform has become the inevitable trend of the development of colleges and universities. The traditional education management methods, especially the classroom attendance methods, not only need to rely on a large number of manpower for data collection and analysis but also cannot ...
Zhao M, Zhao G, Qu M.
europepmc   +2 more sources

A novel technique for texture description and image classification based in RGB compositions

IET Communications, Volume 17, Issue 10, Page 1162-1176, June 2023., 2023
New technique for facial recognition that performs the description and classification of images in both controlled and uncontrolled environments Abstract At present, facial recognition entertains great importance in performing authentication processes, because it prevents unauthorized access to devices and places.
Carlos Eduardo Padilla Leyferman, José Trinidad Guillen Bonilla, Juan Carlos Estrada Gutiérrez, Maricela Jiménez Rodríguez   +3 more
wiley   +1 more source

Design and Analysis of an Expert System for the Detection and Recognition of Criminal Faces

Journal of Electrical and Computer Engineering, Volume 2023, Issue 1, 2023., 2023
The process of identifying a person using their facial traits is referred to as face recognition, and it is a form of biometric identification. The use of facial recognition might range from that of an entertainment tool to one of a security tool. Even while other forms of biometric identification, such as fingerprints and iris scans, are reliable ...
Rishi Gupta, Amit Kumar Gupta, Deepak Panwar, Ashish Jain, Partha Chakraborty, Raid Al-Nima   +5 more
wiley   +1 more source

Avoiding prior–data conflict in regression models via mixture priors

Canadian Journal of Statistics, Volume 50, Issue 2, Page 491-510, June 2022., 2022
The Bayesian‐80 model consists of the prior–likelihood pair. A prior–data conflict arises whenever the prior allocates most of its mass to regions of the parameter space where the likelihood is relatively low. Once a prior–data conflict is diagnosed, what to do next is a hard question to answer. We propose an automatic prior elicitation that involves a
Leonardo Egidi, Francesco Pauli, Nicola Torelli   +2 more
wiley   +1 more source

Evaluating the Performance of Eigenface, Fisherface, and Local Binary Pattern Histogram-Based Facial Recognition Methods under Various Weather Conditions

Technologies, 2021
Facial recognition (FR) in unconstrained weather is still challenging and surprisingly ignored by many researchers and practitioners over the past few decades.
Md Manjurul Ahsan, Yueqing Li, Jing Zhang, Md Tanvir Ahad, Kishor Datta Gupta   +4 more
doaj   +1 more source

Rice Disease Detection Using Artificial Intelligence and Machine Learning Techniques to Improvise Agro‐Business

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
Agro‐business is highly dependent on rice quality and its protection from diseases. There are several prerequisites for the procedures and the strategies that are productive and efficient for expanding the harvest yield. The advancement in computer science has supported various domains; agricultural innovation is one of them.
Shruti Aggarwal, M. Suchithra, N. Chandramouli, Macha Sarada, Amit Verma, D. Vetrithangam, Bhaskar Pant, Biruk Ambachew Adugna, Punit Gupta   +8 more
wiley   +1 more source

Smart Attendance Monitoring Technology for Industry 4.0

Journal of Nanomaterials, Volume 2022, Issue 1, 2022., 2022
Keeping track of employee attendance in academic settings can be a difficult task. It frequently wastes a significant percentage of the category’s productive time when done manually. In this study, the OpenCV open‐source image processing library presents an effective Raspberry Pi‐based methodology that reduces product cost and aids in connecting to ...
Archana S. Nadhan, Chetana Tukkoji, Boosi Shyamala, N. Dayanand Lal, A. N. Sanjeev Kumar, V. Mohan Gowda, Zameer Ahmed Adhoni, Melaku Endaweke, Samson Jerold Samuel Chelladurai   +8 more
wiley   +1 more source

PERBANDINGAN METODE PENGENALAN WAJAH MELALUI SURVEILLANCE BERBASIS PENGENALAN WAJAH

SINTECH (Science and Information Technology) Journal, 2021
Until now, the facial recognition method is still very difficult to do, especially when the facial confirmation process is accurate in real time. Facial recognition methods that have been tested, such as eigenface, Local Binary Pattern Histogram (LBPH),
I Nyoman Tri Anindia Putra, Ketut Sepdyana Kartini   +1 more
doaj   +1 more source