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Discover Artificial Intelligence, Volume 4
Volume 4, Number 1, 2024
- Ellen Hackl:
Assessing ChatGPT's use of person-first language in healthcare conversations. - Rahul Mondal, Evelina Ignatova, Daniel Walke, David Broneske, Gunter Saake, Robert Heyer:
Clustering graph data: the roadmap to spectral techniques. - Aditya Sivakumar, Ben Gelman, Robert Simmons:
Standardized nomenclature for litigational legal prompting in generative language models. - Cody Holl:
The content intelligence: an argument against the lethality of artificial intelligence. - Luis Augusto Libório Oliveira Fonseca, Yuzo Iano, Gabriel Gomes de Oliveira, Gabriel Caumo Vaz, Giulliano Paes Carnielli, Júlio César Pereira, Rangel Arthur:
Automatic printed circuit board inspection: a comprehensible survey. - Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica:
Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review. - Alice Saldanha Villar, Carolina Robledo Velini de Andrade:
Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study. - Melise Peruchini, Gustavo Modena da Silva, Julio Monteiro Teixeira:
Between artificial intelligence and customer experience: a literature review on the intersection. - Fernanda Miyuki Yamada, Harlen Costa Batagelo, João Paulo Gois, Hiroki Takahashi:
Generative approaches for solving tangram puzzles. - Islam Al Sawi, Ahmed Alaa:
Navigating the impact: a study of editors' and proofreaders' perceptions of AI tools in editing and proofreading. - Yoshija Walter:
Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation - A contemporary overview and an analysis of socioeconomic consequences. - Pitoyo Hartono:
Context-flexible cartography with Siamese topological neural networks. - Daniel Georges Olle Olle, Julien Zoobo Bisse, Ghislain Abessolo Alo'o:
Application and comparison of K-means and PCA based segmentation models for Alzheimer disease detection using MRI. - Sandra Camacho Clavijo:
AI assessment tools for decision-making on telemedicine: liability in case of mistakes. - Charmy Vora, Vijay Katkar, Munindra Lunagaria:
GAIT analysis based on GENDER detection using pre-trained models and tune parameters. - Nicole Groene, Sergii Zakharov:
Introduction of AI-based sales forecasting: how to drive digital transformation in food and beverage outlets. - Geethu Mohan, M. Monica Subashini, Shuba Balan, Shreyansh Singh:
A multiclass deep learning algorithm for healthy lung, Covid-19 and pneumonia disease detection from chest X-ray images. - Soha Rawas:
AI: the future of humanity. - Werapat Jintanachaiwat, Kritsana Jongsathitphaibul, Nopparoek Pimsan, Mintra Sojiphan, Amorn Tayakee, Traithep Junthep, Thitirat Siriborvornratanakul:
Using LSTM to translate Thai sign language to text in real time. - F. S. Rodriguez, P. Norouzzadeh, Z. Anwar, E. Snir, Bahareh Rahmani:
A machine learning approach to predict the S&P 500 absolute percent change. - Khizra Maqsood, Hani Hagras, Nicolae Radu Zabet:
An overview of artificial intelligence in the field of genomics. - Abdullah A. Abonamah, Neda Abdelhamid:
Managerial insights for AI/ML implementation: a playbook for successful organizational integration. - Arpan Basu, Rishav Pramanik, Ram Sarkar:
Wanet: weight and attention network for video summarization. - Khalifa Al-Hosani, Saadat M. Alhashmi:
Opportunities, challenges, and benefits of AI innovation in government services: a review. - Mahdi Abed Salman, Samaher Al-Janabi:
Creating a cutting-edge neurocomputing model with high precision. - Minoru Fujisawa, Hiroyuki Yasuda, Ryosuke Isogai, Maki Arai, Yoshifumi Yoshida, Aohan Li, Song-Ju Kim, Mikio Hasegawa:
An efficient beaconing of bluetooth low energy by decision making algorithm. 26 - Ammar Zafar:
Balancing the scale: navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices. 27 - Sauharda Kushal, Bharanidharan Shanmugam, Jawahar Sundaram, Suresh Thennadil:
Self-healing hybrid intrusion detection system: an ensemble machine learning approach. 28 - Anne Gerdes:
The role of explainability in AI-supported medical decision-making. 29 - Mauro José Pappaterra, María Lucía Pappaterra, Francesco Flammini:
A study on the application of convolutional neural networks for the maintenance of railway tracks. 30 - Soha Rawas:
Transforming healthcare delivery: next-generation medication management in smart hospitals through IoMT and ML. 31 - Frank Emmert-Streib:
Is ChatGPT the way toward artificial general intelligence. 32 - Nishan Mills, Zafar Issadeen, Amali Matharaarachchi, Tharindu R. Bandaragoda, Daswin De Silva, Andrew Jennings, Milos Manic:
A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence. 33 - Ali Fenwick, Gábor Molnár, Piper Frangos:
The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption. 34 - Ruhina Karani, Jay Jani, Sharmishta Desai:
FER-BHARAT: a lightweight deep learning network for efficient unimodal facial emotion recognition in Indian context. 35 - Yueqi Li, Biyun Xiang:
Reducing organizational inequalities associated with algorithmic controls. 36 - Muhammad Asif, Zhou Gouqing:
Innovative application of artificial intelligence in a multi-dimensional communication research analysis: a critical review. 37 - Brendan P. Mackey, Razmig Garabet, Laura Maule, Abay Tadesse, James Cross, Michael Weingarten:
Evaluating ChatGPT-4 in medical education: an assessment of subject exam performance reveals limitations in clinical curriculum support for students. 38 - Kevin Kam Fung Yuen:
Cognitive pairwise comparison forward feature selection with deep learning for astronomical object classification with sloan digital sky survey. 39 - Iqbal H. Sarker:
LLM potentiality and awareness: a position paper from the perspective of trustworthy and responsible AI modeling. 40 - Methasit Pengmatchaya, Juggapong Natwichai:
Identifying player skill of dota 2 using machine learning pipeline. 41 - John Jenkins, Kaushik Roy:
Exploring deep convolutional generative adversarial networks (DCGAN) in biometric systems: a survey study. 42 - Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito:
Modeling rehabilitation dataset to implement effective AI assistive systems. 43
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