Short-term traffic flow prediction (TFP) is an important area in intelligent transportation system (ITS), which used to reduce congestion. But the avail of data with temporal features and periodic are susceptible weather conditions, making TFP a challenging issue. process significantly influenced by several factors like accident weather. Particularly, inclement conditions may have extreme impac...

In robotic manipulators, feedback control of nonlinear systems with fast finite-time convergence is desirable. However, because the parametric and model uncertainties, robust tuning manipulators pose many challenges related to trajectory tracking system. This research proposes a state-of-the-art algorithm, which combination integral terminal sliding mode (FIT-SMC), exact differentiator (RED) ob...

Fruit classification is found to be one of the rising fields in computer and machine vision. Many deep learning-based procedures worked out so far classify images may have some ill-posed issues. The performance scheme depends on range captured images, volume features, types characters, choice features from extracted type classifiers used. This paper aims propose a novel learning approach consis...

In the oil industry, productivity of wells depends on performance sub-surface equipment system. These systems often have problems stemming from sand, corrosion, internal pressure variation, or other factors. order to ensure high and avoid high-cost losses, it is essential identify source possible failures in early stage. However, this requires additional maintenance fees human power. Moreover, ...

The role of a power transformer is to convert the electrical level and send it consumer, making an essential component system. In addition, asset management for monitoring functioning transformers in system prevent failure anticipating health state transformers, using technique known as index (HI). However, calculation computation determine HI based on scoring ranking complex required expert va...

Artificial Neural Networks (ANNs) have been found to be a robust tool to model many non-linear hydrological processes. The present study aims at evaluating the performance of ANN in simulating and predicting ground water levels in the uplands of a tropical coastal riparian wetland. The study involves comparison of two network architectures, Feed Forward Neural Network (FFNN) and Recurrent Neura...

BACKGROUND In the past several years, there has been increasing interest and enthusiasm in molecular biomarkers as tools for early detection of cancer. Liquid chromatography tandem mass spectrometry (LC/MS/MS) based plasma proteomics profiling technique is a promising technology platform to study candidate protein biomarkers for early detection of cancer. Factors such as inherent variability, p...

The character recognition is the major important part in the area of document analysis. Character Recognition could be evaluated on printed text and handwritten text. Printed texture could be from a good quality image. In this research work, we implemented in the OCR approach to improve the recognition of character with Classification approach. We work on filtration techniques to improve the pi...

Background and objective: Blood pressure (BP) is one of the crucial indicators that contains valuable medical information about cardiovascular activities. Developing photoplethysmography (PPG)-based cuffless BP estimation algorithms with enough robustness accuracy clinically useful in practice, due to its simplicity noninvasiveness. In this paper, we have developed tested two frameworks for art...

Abstract Assessing the stability of stopes is essential in open stope mine design as unstable hangingwalls and footwalls lead to sloughing, unplanned dilution, safety concerns compromising profitability mine. Over past few decades, numerous empirical tools have been developed dimension connection with its stability, using graph method. However, one principal limitations method objectively deter...