Handwriting Digital Image Generation based on GAN: A Comparative Study of Basic GAN and CGAN Models by Zeng Hongzhi

“…The vast application of artificial intelligence in numerous fields—image generation being one of them—has been made possible by the quick development of deep learning. …”
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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

“…The rapidly developed artificial intelligence technology gradually shows great potential and value in urban flood simulation and forecasting. …”
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Robustness of Big Language Modeling in Finance by Yao Mohan

“…With the gradual entry of artificial intelligence into all aspects of people’s lives, people begin to use big language models to solve problems in various fields. …”
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Technology adoption by women-owned businesses in Canada by Huju Liu, Hassan Faryaar

“…Women-owned businesses (12.3%) were less likely to use emerging technologies, such as artificial intelligence, than men-owned businesses (16.5%). …”
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Perancangan User Experience Aplikasi Penghemat Listrik myECO dengan Otomatisasi dan Manajemen Listrik untuk Rumah Tangga by Maulana Derifato Achmad, Herman Tolle, Buce Trias Hanggara

“…Maka dapat dihadirkan suatu solusi yaitu aplikasi berbasis Internet of Things (IoT), Artificial Intelligence dan Machine Learning yang dapat menganalisis pemborosan dan memudahkan manajemen perangkat listrik. …”
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An IoT-enhanced automatic music composition system integrating audio-visual learning with transformer and SketchVAE by Yifei Zhang

“…With the rapid development of artificial intelligence and the Internet of Things technology, the automatic music composition system has become a hot topic of research. …”
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From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

“… Constraint Satisfaction Problems (CSP) are a fundamental mechanism in artificial intelligence, but finding a solution is an NP-complete problem, requiring the exploration of a vast number of combinations to satisfy all constraints. …”
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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…This research advances the field by showcasing the benefits of comprehensive dataset preparation and targeted fine-tuning, providing a foundation for future developments in humor-related artificial intelligence applications.…”
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Optimization of cyber security through the implementation of AI technologies by Nawaf Liqaa, Bentotahewa Vibhushinie

“…The Metaheuristic algorithms are stimulated by the human brain, so implementing Artificial Intelligence (AI) that assists the Neural Network to mimic the behaviour of the human brain is important to predict significant outcomes. …”
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Case studies of AI policy development in Africa by Kadijatou Diallo, Jonathan Smith, Chinasa T. Okolo, Dorcas Nyamwaya, Jonas Kgomo, Richard Ngamita

“…Artificial intelligence (AI) requires new ways of evaluating national technology use and strategy for African nations. …”
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The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS). by DanielRaj K, Ponseka G, Bharath Sanjai Lordwin D J3

“…By exploring applications in robotics, medical diagnostics, and environmental monitoring, this research highlights how brain-inspired systems could drive the next generation of artificial intelligence and sustainable computing, meeting the growing need for energy-efficient, intelligent systems. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“… In computer vision applications, pattern recognition is one of the important fields in artificial intelligence. With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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A Comprehensive and Structured Maturity Model for Measuring AI Adoption Levels in Industry 4.0 by Maria Amelia Eliseo, Leonildo Carnevalli Junior, Ismar Frango Silveira

“…Concurrently, Artificial Intelligence (AI) is at the forefront of a profound shift in organizational management and operations, reshaping professional routines and redefining society's interaction with technology. …”
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

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AUTOMATED ACCOUNTING PRACTICES IN CAMEROONIAN ACCOUNTING FIRMS: A QUALITATIVE STUDY OF ATTITUDE AND ADOPTION by Pafe Bruno Ndong, Elle Narcisse

“… This research is motivated by growing strength of artificial intelligence particularly automation of accounting practices in the world at large and Cameroonian accounting firms, in particular. …”
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INSTRUMENTAL CAPACITY OF INTERNATIONAL BUSINESS IN MODERN CONDITIONS by Georgii Logvynskyi

“…The dynamics of new forms of international business functioning are established, characterised by features such as: a) virtual forms of operation (including through business platforms); application of modern technologies as the basis of functioning (including software, artificial intelligence); implementation of global and rapid networking via the Internet, etc. …”
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Implementation of the 5IR for efficient service delivery in the public sector, South Africa by Amos Shibambu

“…The 5IR is based on the observation that 4IR focused less on the original principles of social fairness and sustainability and more on digitalisation and artificial intelligence-driven technologies to increase production efficiency and flexibility. …”
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Survei Penelitian Metode Kecerdasan Buatan untuk Mendeteksi Ancaman Teknologi Serangan Siber by Eza Yolanda Fitria, Kusprasapta Mutijarsa

“…This research aims to map the techniques and methods of artificial intelligence to detect cyber-attack technology threats in the form of a Systematic Literature Review (SLR). …”
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Perbandingan Metode Supervised Machine Learning untuk Prediksi Prevalensi Stunting di Provinsi Jawa Timur by M Syauqi Haris, Ahsanun Naseh Khudori, Wahyu Teja Kusuma

“…Supervised machine learning is an approach in making artificial intelligence that uses labeled data as training data. …”
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IoT-based approach to multimodal music emotion recognition by Hanbing Zhao, Ling Jin

“…With the rapid development of Internet of Things (IoT) technology, multimodal emotion recognition has gradually become an important research direction in the field of artificial intelligence. However, existing methods often face challenges in efficiency and accuracy when processing multimodal data. …”
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