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Low-complexity high-performance deep learning model for real time low cost embedded fire detection system.
(Elsevier, 2020)
Correct and timely detection of fires has been an active area of research. Both shallow learning (with manual feature engineering),
as well as deep learning (with its promise of automatically extracting meaningful ...
Tunable memristor emulator using off-the-shelf components.
(Elsevier, 2020)
Emerging memristor technology is as of late drawing broad consideration due to its potential for several applications. But, the non-availability of solid-state memristive devices puts a practical limitation. So, this paper ...
Four quadrant analog multiplier based memristor emulator using single active element
(Elsevier, 2020-02)
This paper presents a novel Four Quadrant Analog Multiplier (FQAM) circuit and its applications using a single active element Current Differencing Transconductance Amplifier (CDTA) and two NMOS. This circuit has a cascadability ...
Shallow and deep learning approaches for network intrusion alert prediction.
(Elsevier, 2020)
The ever-increasing frequency and intensity of intrusion attacks on computer networks worldwide has necessitated intense research efforts towards the design of attack detection and prediction mechanisms. While there are a ...
Memristor-based tunable analog filter for physiological signal acquisition for electrooculography.
(SpringerLink, 2019-01-09)
In this paper we demonstrate that Memristors can be used in conjunction with CMOS to implement a continuous-time tunable analog bandpass filter for use in the area of biomedical signal acquisition. The idea here is to ...
FireNet: a specialized lightweight fire & smoke detection model for real-time IoT applications.
(arXiv, 2018-05-28)
Fire disasters typically result in lot of loss to life
and property. It is therefore imperative that precise, fast, and
possibly portable solutions to detect fire be made readily available
to the masses at reasonable ...
MuLViS: multi-level encryption based security system for surveillance videos
(IEEE, 2020-09-18)
Video Surveillance (VS) systems are commonly deployed for real-time abnormal event detection and autonomous video analytics. Video captured by surveillance cameras in real-time often contains identifiable personal information, ...
GRU-based deep learning approach for network intrusion alert prediction
(Elsevier, 2021-11)
The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ...
Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perpectives.
(Springer, 2019-10-16)
Collaborative assemblies of robots are promising the next generation of robot applications by ensuring that safe and reliable robots work collectively toward a common goal. To maintain this collaboration
and harmony, ...
Tethered balloon technology for green communication in smart cities and health environment.
(ICOICE, 2019-12)
—The development and adopting of advanced
communication technologies provide mobile users more
convenience to connect any wireless network anytime and
anywhere. Therefore, a large number of base stations (BS) are
demanded ...