Computer-vision based automatic rider helmet violation detection and vehicle identification in Indian smart city scenarios using NVIDIA TAO toolkit and YOLOv8.

Two-wheeler traffic offenses are a well-known fact about the Indian Road scenario. In addition to endangering the offenders, these offenses also endanger other commuters. Two-wheeler traffic violations can take many different forms, such as overloading, triple riding, and helmetless riding.

Effect of AgO nanoparticles on the excited state dipole moment of a novel BMNFC molecules through solvatochromic shift method.

We experimentally determined the ground and excited state dipole moments of BMNFC (5-bromo-N'-[(Z)-(4-methoxyphenyl)methylidene]naptho[2,1-b]furan-2-carbohydrazide) dye using the solvatochromic shift method and various solvatochromic correlations, including Lippert's, Bakhshiev's, Kawski-Chamma-Viallet's, and solvent polarity equations. We employed the B3LYP/6-311G (d) level of theory to calculate the HOMO, LUMO, and MESP. In this study, we synthesized AgO nanoparticles using a quick and cost-effective chemical reduction method.

Mechanical and Tribological Properties of Aluminum-Based Metal-Matrix Composites.

This review article focuses on the aluminum-based metal matrix composites (Al-based MMCs). Studies or investigations of their mechanical and tribological properties performed by researchers worldwide in the past are presented in detail. The processing techniques and applications for Al-based MMCs are also documented here.

Sol-Gel Co-Precipitation Synthesis, Anticoagulant and Anti-Platelet Activities of Copper-Doped Nickel Manganite Nanoparticles.

Copper-substituted nickel manganites NiCuMnO (Ni-TCE-NPs) were produced by co-precipitation route (sol-gel) at room temperature. NiCuxMnO-Bio (NCB) NPs were studied by powder X-ray diffraction technique, scanning electron microscopy and Raman spectroscopy. XRD spectra authenticated the copper-doped nickel manganites' formation with particle size 23-28 nm.

Analysis and Optimization of Dimensional Accuracy and Porosity of High Impact Polystyrene Material Printed by FDM Process: PSO, JAYA, Rao, and Bald Eagle Search Algorithms.

High impact polystyrene (HIPS) material is widely used for low-strength structural applications. To ensure proper function, dimensional accuracy and porosity are at the forefront of industrial relevance. The dimensional accuracy cylindricity error (CE) and porosity of printed parts are influenced mainly by the control variables (layer thickness, shell thickness, infill density, print speed of the fused deposition modeling (FDM) process).

Machine learning for identification of dental implant systems based on shape - A descriptive study.

Aim: To evaluate the efficacy of machine learning in identification of dental implant systems from panoramic radiographs based on the shape.

Settings And Design: In vitro-Descriptive study.

Materials And Methods: A Dataset of digital panoramic radiographs of three dental implant systems were obtained.

Image dataset of pomegranate fruits () for various machine vision applications.

Dataset - an essential aspect and the requirement for any of the machine learning project. Collection/creation of dataset in the agriculture domain is highly challenging task because the domain itself is uncertain. Main objective of the present paper is to create an image dataset of pomegranate fruits of different grades.

The Effect of Zn and Zn-WO Composites Nano-Coatings Deposition on Hardness and Corrosion Resistance in Steel Substrate.

Pure Zn (Zinc) and its Zn-WO (Zinc-Tungsten trioxide) composite coatings were deposited on mild steel specimens by applying the electrodeposition technique. Zn-WO composites were prepared for the concentration of 0.5 and 1.

End-to-End Automated Latent Fingerprint Identification With Improved DCNN-FFT Enhancement.

Automatic Latent Fingerprint Identification Systems (AFIS) are most widely used by forensic experts in law enforcement and criminal investigations. One of the critical steps used in automatic latent fingerprint matching is to automatically extract reliable minutiae from fingerprint images. Hence, minutiae extraction is considered to be a very important step in AFIS.

CNNAI: A Convolution Neural Network-Based Latent Fingerprint Matching Using the Combination of Nearest Neighbor Arrangement Indexing.

Automatic fingerprint identification systems (AFIS) make use of global fingerprint information like ridge flow, ridge frequency, and delta or core points for fingerprint alignment, before performing matching. In latent fingerprints, the ridges will be smudged and delta or core points may not be available. It becomes difficult to pre-align fingerprints with such partial fingerprint information.

Frequency spectrum and fatigue analysis of T-bolt fracture in DT III fastener based on Refined Model.

It is observed that T-bolt fracture of DT III fastener affects the safety of railway operations. The present study is aimed at finding solution to this critical issue of DT III T-bolt fracture. The paper is based on outcomes of field studies and analysis of relationship between bolt installation torque and stress.

An optimized design of seizure detection system using joint feature extraction of multichannel EEG signals.

The detection of seizure onset and events using electroencephalogram (EEG) signals are important tasks in epilepsy research. The literature available on seizure detection has discussed the implementation of advanced signal processing algorithms using tools accessed over the cloud. However, seizure monitoring application needs near sensor processing due to privacy and latency issues.

Correlation between the magnetic-microstructure and microwave mitigation ability of MCoFeO based ferrite-carbon black/PVA composites.

A study of controlling the microwave mitigation properties of ferrite-carbon black/PVA composites by tuning the magnetic microstructure and spin arrangement of the ferrite particles is presented. MCoFeO (M: Ni, Mn & Zn) nano-ferrites (NFs) were synthesized by a solvothermal method and these NFs were used to fabricate NF-CB hybrids and flexible NF-CB/PVA composite films. The magnetic force microscopy studies of the NFs reveal a unique single axis oriented domain structure for Zn-NFs and multi-domain magnetic microstructures for Mn-NFs and Ni-NFs.