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ISSN: 2772-4859

A review of Blockchain Technology applications for financial services

Financial service providers find blockchain technology useful to enhance authenticity, security, and risk management. Several institutions are adopting blockchain in trade and finance systems to build...

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ChatGPT for healthcare services: An emerging stage for an innovative perspective

Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this...

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Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system

Artificial Intelligence (AI)-based ChatGPT developed by OpenAI is now widely accepted in several fields, including education. Students can learn about ideas and theories by using this technology while...

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An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges

Open Artificial Intelligence (AI) published an AI chatbot tool called ChatGPT at the end of November 2022. Generative Pre-trained Transformer (GPT) architecture is the foundation of ChatGPT. On the...

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LLMs: A game-changer for software engineers?

•LLMs promise a future of faster, more efficient, and collaborative software development.•This paper examines the transformative potential of LLMs in software development and argues that early adoption...

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Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations

•The potential benefits for companies of adopting ChatGPT, a popular chatbot built on a large-scale transformer.•To carefully analyze its use cases and restrictions, as well as its strengths and disadvantages.•ChatGPT...

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e₹—The digital currency in India: Challenges and prospects

The Reserve Bank of India (RBI) has recently launched the country’s first pilot project for the digital currency known as the digital rupee or e-Rupee (e₹). The launch of the digital rupee represents...

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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions

Machine learning significantly enhances clinical decision-making quality, directly impacting patient care with early diagnosis, personalized treatment,  and predictive analytics. Nonetheless, the increasing...

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Benchmarking, ethical alignment, and evaluation framework for conversational AI: Advancing responsible development of ChatGPT

Conversational AI systems like ChatGPT have seen remarkable advancements in recent years, revolutionizing human–computer interactions. However, evaluating the performance and ethical implications of...

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Regulatory landscape of blockchain assets: Analyzing the drivers of NFT and cryptocurrency regulation

The study analyzes the global regulatory landscape for blockchain assets, particularly cryptocurrencies and non-fungible tokens, focusing on the motivations behind policymaker actions, the diversity...

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AIGCBench: Comprehensive evaluation of image-to-video content generated by AI

The burgeoning field of Artificial Intelligence Generated Content (AIGC) is witnessing rapid advancements, particularly in video generation. This paper introduces AIGCBench, a pioneering comprehensive...

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Evaluation of mechanical properties of natural fiber based polymer composite

•One of the best natural fibers is jute fiber because of its availability, ease of access, and affordability.•In this study, the fabrication of Jute Fiber-Based Polymer composite was accomplished by...

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An investigation into the preparation and evaluation of the physio-mechanical properties of glass-cotton, glass-jute, and glass-banana fiber-reinforced epoxy composite materials

•Hand layup method has been used to fabricate Glass-Cotton, Glass-Jute, and Glass-Banana Fiber-Reinforced Epoxy Composites.•Tensile strength, flexural strength, and water absorption properties of these...

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Comparative study of deep learning models for Parkinson’s disease detection

•A comprehensive comparative analysis of five state-of-the-art deep learning models for Parkinson’s Disease (PD) detection.•Models evaluated include: MLP, RNN-LSTM, GRU,GAN and Autoencoder using voice...

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Mind meets machine: Unravelling GPT-4’s cognitive psychology

Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large Language Models (LLMs) are emerging as potent tools increasingly...

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Hybrid deep learning model for identifying the cancer type

Despite current advances, cancer remains one of the biggest health challenges globally, and diagnosis must be made earlier to begin treatment. In this work, we introduce a hybrid deep learning-based...

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Algorithmic fairness in social context

Algorithmic fairness research is currently receiving significant attention, aiming to ensure that algorithms do not discriminate between different groups or individuals with similar characteristics....

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Predicting the number of call center incoming calls using deep learning

One of the main problems in call centers is the call queue. This can lead to long waiting times for customers, increased frustration and call abandonment. The important role that predictive analytics...

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Advanced Deep Learning Models for Improving Movie Rating Predictions: A Benchmarking Study

•Deep learning models benchmarked for accurate movie rating prediction.•Novel integration of sentiment analysis and advanced feature extraction techniques.•Comparative performance evaluation identifies...

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Exposing financial shenanigans: The role of Indian accounting standards (Ind AS) in enhancing corporate accountability and governance

The Indian Accounting Standards (Ind AS) play a pivotal role in reducing financial impropriety. These standards significantly enhance the accountability, accuracy, and transparency of financial reporting,...

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Evaluating public bicycle sharing system in Ahmedabad, Gujarat: A multi-criteria decision-making approach

This study evaluates the existing Public Bicycle Sharing System (PBSS) at Ahmedabad, Gujarat by applying four decision-making methods such as Analytic Hierarchy Process (AHP), Fuzzy AHP, Analytic Network...

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Are current benchmarks adequate to evaluate distributed transactional databases?

With the rapid development of distributed transactional databases in recent years, there is an urgent need for fair performance evaluation and comparison. Though there are various open-source benchmarks...

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Patrick Star: A comprehensive benchmark for multi-modal image editing

Generative image editing enhances and automates traditional image designing methods. However, there is a significant imbalance in existing research, where the development of sketch-guided and example-guided...

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Understanding hot interconnects with an extensive benchmark survey

Understanding the designs and performance characterizations of hot interconnects on modern data center and high-performance computing (HPC) clusters is a fruitful research topic in recent years. The...

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DPUBench: An application-driven scalable benchmark suite for comprehensive DPU evaluation

With the development of data centers, network bandwidth has rapidly increased, reaching hundreds of Gbps. However, the network I/O processing performance of CPU improvement has not kept pace with this...

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