Enhanced segmentation with optimized nine-layered CNN-based classification of leaf diseases: an automatic approach for plant disease diagnosis

P Chillakuru, D Divya, K Ananthajothi - cybernetics and systems, 2022 - Taylor & Francis
The task of monitoring the plant leaves is considered to be error-prone, inconsistent, and
unreliable. Thus, certain deep learning algorithms are developed to detect plant leaf …

Hybrid optimization search-based ensemble model for portfolio optimization and return prediction in business investment

MJ Naik, AL Albuquerque - Progress in Artificial Intelligence, 2022 - Springer
In recent years, portfolio optimization is the most attracted topic among researchers. More
advanced techniques in portfolio optimization help the investors to gain more profits. The …

Intelligent energy efficient vehicle automation system with sensible edge processing protocol in Internet of Vehicles using hybrid optimization strategy

J Deepa, SA Ali, S Hemamalini - Wireless Networks, 2023 - Springer
For improving productivity sectors, the Internet of Vehicles (IoV) is designed based on the
interchange between the Internet of Things and automated vehicle schemes in smart cities …

Design and development of novel hybrid optimization-based convolutional neural network for software bug localization

G Mahajan, N Chaudhary - Soft Computing, 2022 - Springer
Software systems are frequently affected by a few defects. In general, the developers make
use of the data present in the file, while reporting a bug; thus, they can help to fix the bug by …

Automated digital image watermarking based on multi-objective hybrid meta-heuristic-based clustering approach

K Soppari, NS Chandra - International Journal of Intelligent Robotics and …, 2023 - Springer
Digital image watermarking has been considered a major requirement in diverse
applications like broadcast monitoring, data authentication, and identification of ownership …

Deep CNN-based feature extraction with optimised LSTM for enhanced diabetic retinopathy detection

BN Bansode, B KM, AS Dildar, S GS - Computer Methods in …, 2023 - Taylor & Francis
The early detection and treatment of DR have helped the ophthalmologist to treat the
affected patients and to reduce vision loss. Computer-aided screening for automatic DR …

[PDF][PDF] 交通环境能量采集及自供能交通设施健康状态监测研究进展

杜荣华, 朱胜亿, 魏克湘, 张文明, 邹鸿翔 - 仪器仪表学报, 2022 - femt.cnjournals.com
从交通环境中采集能量为交通设施健康状态监测供电, 不仅便捷, 可持续, 而且零碳环保,
有益于我国“双碳” 目标实现. 目前关于交通环境能量采集, 交通设施健康状态监测的研究有很多 …

Design and development of modified ensemble learning with weighted rbm features for enhanced multi-disease prediction model

AS Prakaash, K Sivakumar, B Surendiran… - New Generation …, 2022 - Springer
In this computer world, huge data are generated in several fields. Statistics in the healthcare
engineering provides data about many diseases and corresponding patient's information …

Developing multi‐path routing protocol in MANET using hybrid SM‐CSBO based on novel multi‐objective function

D Jeyaraj, J Yesudhasan… - International Journal of …, 2023 - Wiley Online Library
One of the infrastructure‐free networks is mobile ad hoc networks (MANETs) that are built
with limited battery life using wireless mobile devices. This restricted battery capability in …

Meta-heuristic searched-ensemble learning for fake news detection with optimal weighted feature selection approach

SH Nithya, A Sahayadhas - Data & Knowledge Engineering, 2023 - Elsevier
Nowadays, fake news has turned into a major problem because of the negative impact that it
creates on society. Social media allows people to spread information on the internet with …