This research is to address the perceived lack of warmth in current voice assistants by integrating them with lively and engaging virtual characters created using 3D modeling techniques. In this study, a virtual chara...
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Sorting and searching are critical processes for effecttive data analysis. In this paper, we evaluate the performance of various sorting and searching algorithms and compare their time and space complexities on both s...
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Suspect identification can be challenging for forensic investigations since standard procedures are time-consuming and prone to mistakes. This calls for the creation of novel approaches utilizing developments in machi...
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ISBN:
(数字)9798350379136
ISBN:
(纸本)9798350379143
Suspect identification can be challenging for forensic investigations since standard procedures are time-consuming and prone to mistakes. This calls for the creation of novel approaches utilizing developments in machine learning (ML) and artificial intelligence (AI). In order to overcome these obstacles, the proposed Face Generation and Recognition in Forensic Science will make use of sophisticated recognition algorithms and AI-based face generation models. Fully trained Stable Diffusion model is applied to generate high-quality face images from textual descriptions. Image Generation, Text Guided Image Manipulation using Denoising Diffusion Probabilistic Models (DDPMs), and Dataset Matching are the three primary components of the process. Using a stable diffusion model, Image Generation quickly creates high-resolution images from word prompts by combining an autoencoder (VAE), U-Net, and text encoder. With the introduction of an alternate noise space for DDPMs, Text Guided picture Manipulation makes it possible to do meaningful picture altering tasks in response to text prompts. VGG-16 , a convolutional neural network architecture is used in dataset matching to extract features and calculate similarity, which makes dataset alignment and comparison easier. The suggested methodology gives law enforcement authorities effective tools for identifying suspects, which represents a substantial development in forensic investigations. The project intends to increase the efficiency of criminal investigations, accelerate the matching process with large datasets, and enhance the accuracy of facial sketches by utilizing AI and ML approaches. The approach’s ability to produce coherent and contextually relevant face images is validated by experimental results, which also show the approach’s potential for speeding up the conclusion of criminal cases, particularly unsolved cold cases. All things considered, Face Generation and Recognition in Forensic Science is a promising step in st
Magnetic levitation planar motor can move at high speed and with high accuracy, and prevent vibration and noise because of no friction. This technology leads to the application of a transport system that requires high...
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In current experimental study, waste crab shells were used for the synthesis of chitosan nanoparticles and characterized. Preparation of chitosan nanoparticles were done through series of processes involving demineral...
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Iron oxide nanoparticles (Fe3O4 NPs) have garnered significant attention in recent years due to their favorable physicochemical and biological characteristics, which make them highly versatile for various applications...
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Terrorism and the proliferation of explosives or improvised explosive devices (IEDs) have plagued many parts of the world. This is an issue of serious public and security concern across the world. One of the innovatio...
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The influence of American magazines is one of the factors behind the global rise of Japanese architecture’s reputation after World War II. In this report, we examine various letters exchanged between American magazin...
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The ever increasing demands in emission regulation are reflected in the increased maintenance costs for vehicle owners. Potential unexpected faults can arise when car manufacturers tend to omit important gauges from d...
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This paper presents an analysis of the biquad digital oscillator, which leads to design improvements in the online oscillating frequency adjustment capabilities. The requirements for signal generation in a digital osc...
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