Browsing Articles - Software Research Institute by Author "Ansari, Mohammad Samar"
Now showing items 1-12 of 12
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Analg front-end design design for biomedical signal acquisition systems.
Ansari, Mohammad Samar (Springer, 2019)This manuscript contains a brief overview of the work being carried out by the author under the aegis of Visvesvaraya Young Faculty Research Fellow- ship awarded to him by the Ministry of Electronics and Information ... -
Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perpectives.
Alsamhi, S.H.; Ma, Ou; Ansari, Mohammad Samar (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, ... -
Depth-map generation using pixel matching in stereoscopic pair of images
Aslam, Asra; Ansari, Mohammad Samar (arXiv, 2019-02)Modern day multimedia content generation and dissemination is moving towards the presentation of more and more ‘realistic’ scenarios. The switch from 2-dimensional (2D) to 3-dimensional (3D) has been a major driving ... -
FireNet: a specialized lightweight fire & smoke detection model for real-time IoT applications.
Jadon, Arpit; Omama, Mohammad; Varshney, Akshay; Ansari, Mohammad Samar; Sharma, Rishabh (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 ... -
Four quadrant analog multiplier based memristor emulator using single active element
Sharma, Vipin Kumar; Parveen, P.; Ansari, Mohammad Samar (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 ... -
GRU-based deep learning approach for network intrusion alert prediction
Ansari, Mohammad Samar; Bartoš, Václav; Lee, Brian (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 ... -
Low-complexity high-performance deep learning model for real time low cost embedded fire detection system.
Jadon, Arpit; Varshney, Akshay; Ansari, Mohammad Samar (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 ... -
MuLViS: multi-level encryption based security system for surveillance videos
Shifa, Amna; Asghar, Mamoona Naveed; Fleury, Martin; Kanwal, Nadia; Ansari, Mohammad Samar; Lee, Brian; Herbst, Marco; Qiao, Yuansong (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, ... -
Performance investigation of Fin FET based MO-CCII and its applications: resistor-less multi-function bi-quadratic filter and balanced modulator.
Yasir, Mohammad; Ansari, Mohammad Samar (World Scientific Publishing, 2020-01-21)This paper presents an optimal design of a high-performance multi-output second-generation current conveyor (MO-CCII) based on 20nm Fin-Shaped Field Effect Transistor (FinFETs). Proposed MO-CCII has very low port X impedance ... -
Shallow and deep learning approaches for network intrusion alert prediction.
Ansari, Mohammad Samar; Bartos, Vaclav; Lee, Brian (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 ... -
A survey of modern deep learning based object detection models
Zaidi, Syed Sahil Abbas; Ansari, Mohammad Samar; Aslam, Asra; Kanwal, Nadia; Ashgar, Mamoona; Lee, Brian (Elsevier, 2022-06-30)Object Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep ... -
Tunable memristor emulator using off-the-shelf components.
Sharma, Vipin Kumar; Ansari, Mohammad Samar; Parveen, T. (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 ...