Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
A Complete Process of Text Classification System Using State‐of‐the‐Art NLP Models
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …
exponentially growing day by day, especially in the form of text documents such as news …
Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things
Quantum‐enhanced machine learning plays a vital role in healthcare because of its robust
application concerning current research scenarios, the growth of novel medical trials, patient …
application concerning current research scenarios, the growth of novel medical trials, patient …
An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city
In the development of smart cities, the intelligent transportation system (ITS) plays a major
role. The dynamic and chaotic nature of the traffic information makes the accurate …
role. The dynamic and chaotic nature of the traffic information makes the accurate …
[PDF][PDF] Disposition of youth in predicting sustainable development goals using the neuro-fuzzy and random forest algorithms
This paper evaluates the inclination of Asian youth regarding the achievement of
Sustainable Development Goals (SDGs). As the young population of a country holds the key …
Sustainable Development Goals (SDGs). As the young population of a country holds the key …
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain
In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …
that efficient and accurate optimization approaches may assist in solving the multiple …
A cryptographic paradigm to detect and mitigate blackhole attack in VANET environments
Future communication systems have become the most commonly categorized as Mobile Ad
hoc Networks and Vehicular Ad hoc Network (VANET). A VANET aims to protect vehicle …
hoc Networks and Vehicular Ad hoc Network (VANET). A VANET aims to protect vehicle …
[PDF][PDF] Packet Drop Battling Mechanism for Energy Aware Detection in Wireless Networks.
Network security and energy consumption are deemed to be two important components of
wireless and mobile ad hoc networks (WMANets). There are various routing attacks which …
wireless and mobile ad hoc networks (WMANets). There are various routing attacks which …
[PDF][PDF] Plant Disease Diagnosis and Image Classification Using Deep Learning.
Indian agriculture is striving to achieve sustainable intensification, the system aiming to
increase agricultural yield per unit area without harming natural resources and the …
increase agricultural yield per unit area without harming natural resources and the …
Black-hole attack mitigation in medical sensor networks using the enhanced gravitational search algorithm
RK Dhanaraj, RH Jhaveri, L Krishnasamy… - … Journal of Uncertainty …, 2021 - World Scientific
In today's world, one of the most severe attacks that wireless sensor networks (WSNs) face is
a Black-Hole (BH) attack which is a type of Denial of Service (DoS) attack. This attack blocks …
a Black-Hole (BH) attack which is a type of Denial of Service (DoS) attack. This attack blocks …