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Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network

Piezoelectric tiles harvest mechanical vibrations and convert them into electrical energy, making them an attractive energy-harvesting technology. However, their performance is heavily influenced by the terrain where they are...

PSK Method for Solving Mixed and Type-4 Intuitionistic Fuzzy Solid Transportation Problems
P. Kumar
Apr 01, 2019
In this article, the author categorises the solid transportation problem (STP) under uncertain environments. He formulates the mixed and fully intuitionistic fuzzy solid transportation problems (FIFSTPs) and utilizes the...
Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network

Piezoelectric tiles harvest mechanical vibrations and convert them into electrical energy, making them an attractive energy-harvesting technology. However, their performance is heavily influenced by the terrain where they are...

Analysis of mutations in pncA reveals non-overlapping patterns among various lineages of Mycobacterium tuberculosis
AbstractPyrazinamide (PZA) is an important first-line anti-tuberculosis drug, resistance to which occurs primarily due to mutations in pncA...
Efficient One-Pot Solvothermal Synthesis and Characterization of Zirconia Nanoparticle-Decorated Reduced Graphene Oxide Nanocomposites
This study mainly deals with an effective one-pot solvothermal synthetic pathway for the preparation of uniformly dispersed zirconium oxide nanoparticles on the flattened rough surface of reduced graphene oxide (ZrO2/rGO NCs)...
Nanobubbles in water and wastewater treatment systems
Since the discovery of nanobubbles (NBs) in 1994, NBs have been attracting growing attention for their fascinating properties and have been studied for application in various environmental fields, including water and wastewater...
Biogenic Photo-Catalyst TiO2 Nanoparticles for Remediation of Environment Pollutants.
This article reports a benign environmentally friendly fabrication method of titanium dioxide (TDO) nanoparticles (named TDO NPs3, TDO NPs5, and TDO NPs8) using aqueous extract of durva herb waste. This synthesis process avoids...
Efficient One-Pot Solvothermal Synthesis and Characterization of Zirconia Nanoparticle-Decorated Reduced Graphene Oxide Nanocomposites
This study mainly deals with an effective one-pot solvothermal synthetic pathway for the preparation of uniformly dispersed zirconium oxide nanoparticles on the flattened rough surface of reduced graphene oxide (ZrO2/rGO NCs)...
Nanobubbles in water and wastewater treatment systems
Since the discovery of nanobubbles (NBs) in 1994, NBs have been attracting growing attention for their fascinating properties and have been studied for application in various environmental fields, including water and wastewater...
Functional balance between Tcf21-Slug defines cellular plasticity and migratory modalities in high grade serous ovarian cancer cell lines.
Cellular plasticity and transitional phenotypes add to complexities of cancer metastasis that can be initiated by single cell epithelial to mesenchymal transition (EMT) or cooperative cell migration (CCM). Our study identifies...
Insights on Imparting Medical Education in Medieval India
Mumtaz Alam
Dec 20, 2019
The imparting of medical education in India since ancient to medieval times has been a theme of research among several historians like Mark Harrison, Deepak Kumar, Anil Kumar, Syed Ali Nadeem Rezavi, Irfan Habib and others, who...
Deep Neural Network Regularization (DNNR) on Denoised Image
Image dehazing in supervised learning models suffers from overfitting and underfitting problems. To avoid overfitting, the authors use regularization techniques like dropout and L2 norm. Dropout helps in reducing overfitting and...
Generative model-enhanced human motion prediction.
The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-distribution (OoD). Here, we formulate a new OoD...
An Effective Skin Disease Segmentation Model Based on Deep Convolutional Neural Network
Automated segmentation of skin lesions as of digitally recorded images is a crucial procedure to diagnose skin diseases accurately. This paper proposes a segmentation model for skin lesions centered on deep convolutional neural...
Affective Video Tagging Framework using Human Attention Modelling through EEG Signals
The explosion of multimedia content over the past years is not surprising; thus, their efficient management and analysis methods are always in demand. The effectiveness of any multimedia content deals with analyzing human...
Pressure-Induced Enhancement of Thermoelectric Figure of Merit and Structural Phase Transition in TiNiSn.
Half-Heusler thermoelectric materials are potential candidates for high thermoelectric efficiency. We report high-pressure thermoelectric and structural property measurements, density functional theory calculations on the...
A comprehensive framework from real‐time prognostics to maintenance decisions
Abstract: Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival...

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