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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, Payam Norouzzadeh, Z. Anwar, Eli 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 - Anna M. Fine, Shawn Marsh:
Judicial leadership matters (yet again): the association between judge and public trust for artificial intelligence in courts. 44 - Lucas Greif, Andreas Kimmig, Sleiman El Bobbou, Paul Jurisch, Jivka Ovtcharova:
Strategic view on the current role of AI in advancing environmental sustainability: a SWOT analysis. 45 - Joko Slamet:
Potential of ChatGPT as a digital language learning assistant: EFL teachers' and students' perceptions. 46 - Gerd Kortemeyer:
Performance of the pre-trained large language model GPT-4 on automated short answer grading. 47 - Reyhaneh Sadeghi, Ahmad Akbari, Mohammad Mehdi Jaziriyan:
ExaAUAC: Arabic Twitter user age prediction corpus based on language and metadata features. 48 - Vivian Liu, Yiqiao Yin:
Green AI: exploring carbon footprints, mitigation strategies, and trade offs in large language model training. 49 - Om M. Khare, Sunil Mane, Harshmohan Kulkarni, Ninad Barve:
LeafNST: an improved data augmentation method for classification of plant disease using object-based neural style transfer. 50 - Elham Karimi, Jennifer Smith, Randy Billard, Brian Veitch:
AI-based adaptive instructional systems for maritime safety training: a systematic literature review. 51 - Fikirte Ayalke Demmese, Shaghayegh Shajarian, Sajad Khorsandroo:
Transfer learning with ResNet50 for malicious domains classification using image visualization. 52 - Aditya Sivakumar, Ben Gelman, Robert Simmons:
Correction: Standardized nomenclature for litigational legal prompting in generative language models. 53 - Walaa N. Ismail, Hessah A. Alsalamah:
A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images. 54 - Sudhi Sinha, Young M. Lee:
Challenges with developing and deploying AI models and applications in industrial systems. 55 - Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal:
Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain. 56 - Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Md. Rafiqul Islam:
Real-time thermography for breast cancer detection with deep learning. 57 - Ashish Singh Chauhan, Rajesh Singh, Neeraj Priyadarshi, Bhekisipho Twala, Surindra Suthar, Siddharth Swami:
Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence. 58 - Charlotte Langer:
Decision-making power and responsibility in an automated administration. 59 - Olesya M. Tolstykh, Tamara Oshchepkova:
Beyond ChatGPT: roles that artificial intelligence tools can play in an English language classroom. 60 - Pertti Saariluoma, Mari Myllylä, Antero Karvonen, Mika Luimula, Jami Aho:
A human digital twin for the M-Machine. 61 - Rocco de Filippis, Abdullah Al Foysal:
Comprehensive analysis of stress factors affecting students: a machine learning approach. 62 - Berkay Cetkin, Lejla Begic Fazlic, Kristof Ueding, Rüdiger Machhamer, Achim Guldner, Lars Creutz, Stefan Naumann, Guido Dartmann:
Spatial impulse response analysis and ensemble learning for efficient precision level sensing. 63 - Joanna I. Lewis, Autumn Toney, Xinglan Shi:
Climate change and artificial intelligence: assessing the global research landscape. 64 - David Power:
Ethical considerations in the era of AI, automation, and surgical robots: there are plenty of lessons from the past. 65 - Mark Locherer, Christopher M. A. Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan-Philipp Radtke:
Multi-label semantic segmentation of magnetic resonance images of the prostate gland. 66 - Alberto Boretti:
Technical, economic, and societal risks in the progress of artificial intelligence driven quantum technologies. 67 - Tharaka Wijesundara, Chamil Rathnayake:
Attachment to AI- generated self-image in a twinning society: a perspective from empty self. 68 - Qun Wang:
The effect of intersection vehicle scheduling based on the service system of sensors and intelligent traffic road information. 69 - Aaron J. Fried, Spencer D. Dorn, William J. Leland, Emily Mullen, Donna M. Williams, Aimee K. Zaas, Jack MacGuire, Debra L. Bynum:
Large language models in internal medicine residency: current use and attitudes among internal medicine residents. 70 - Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh:
Segmentation of MR images for brain tumor detection using autoencoder neural network. 71 - Jian Dou, Xuan Liu, Xingqi Liu, Bin Xu:
Two-level integrated verification evaluation method based on comprehensive weighted assessment in multiple scenarios. 72 - Emmanuel Ahishakiye, Fredrick Kanobe:
Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines. 73 - Radu Bogdan Toma, Iraya Yánez-Pérez:
Effects of ChatGPT use on undergraduate students' creativity: a threat to creative thinking? 74 - Syed Azeem Inam, Abdullah Ayub Khan, Tehseen Mazhar, Noor Ahmed, Tariq Shahzad, Muhammad Amir Khan, Mamoon M. Saeed, Habib Hamam:
PR-FCNN: a data-driven hybrid approach for predicting PM2.5 concentration. 75 - Nourhan Ibrahim, Samar AboulEla, Ahmed F. Ibrahim, Rasha F. Kashef:
A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challenges. 76 - Sakthi Jaya Sundar Rajasekar, Anu Rithiga Balaraman, Deepa Varnika Balaraman, Saleem Mohamed Ali, Kannan Narasimhan, Narayanasamy Krishnasamy, Varalakshmi Perumal:
Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks. 77 - Ahmet Küçükuncular:
Ethical AI cannot be fostered in a vacuum: why AI ethics research needs industry involvement. 78 - Vidith Phillips, Fadi Kiryakoza, Shamsul Arefin, Nishtha Choudhary, Renat Garifullin:
ChatGPT versus Google Gemini: a comparison to evaluate patient education guide created on common neurological disorders. 79 - Philipp Nettesheim, Peter Burggräf, Fabian Steinberg:
Applications of machine learning in the brewing process: a systematic review. 80 - Ayush Agarwal, Raghavendra Ramachandra, Sushma Venkatesh, S. R. Mahadeva Prasanna:
Biometrics in extended reality: a review. 81 - Gurparsad Singh Suri, Gurleen Kaur, Dheeraj Shinde:
Beyond boundaries: exploring the transformative power of AI in pharmaceuticals. 82 - Ahmet Göçen, Mahat Maalim Ibrahim, Asad ul Islam Khan:
Public attitudes toward higher education using sentiment analysis and topic modeling. 83 - Emran Alotaibi, Nadia Nassif:
Artificial intelligence in environmental monitoring: in-depth analysis. 84 - Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg:
Predicting the generalization of computer aided detection (CADe) models for colonoscopy. 85 - Barsha Pattanaik, Sourav Mandal, Rudra M. Tripathy, Arif Ahmed Sekh:
Rumor detection using dual embeddings and text-based graph convolutional network. 86 - Gökhan Akçapinar, Elif Sidan:
AI chatbots in programming education: guiding success or encouraging plagiarism. 87 - Yong-Kwan Lee, Boohyun Kim, Jinheum Kim:
Exposing factors influencing Korean leisure life satisfaction through machine learning techniques. 88 - Flora Rajaei, Peter Toogood, Renju Jacob, Mason Baber, Mya Gough, Harm Derksen, Emily Wittrup, Kayvan Najarian:
Identifying selective PDHK inhibitors using coupled tensor matrix completion and experimental validation. 89 - Ferhat Özgür Çatak, Murat Kuzlu:
Uncertainty quantification in large language models through convex hull analysis. 90 - Janny Xue Chen Ke, Arunachalam DhakshinaMurthy, Ronald B. George, Paula Branco:
The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal validation in a retrospective cohort. 91 - Yusupha Sinjanka, Veerpal Kaur, Usman Ibrahim Musa, Karandeep Kaur:
ML-based early detection of lung cancer: an integrated and in-depth analytical framework. 92 - S. Rashmi, S. Srinath, R. Rakshitha, B. V. Poornima:
Ensemble learning methods with single and multi-model deep learning approaches for cephalometric landmark annotation. 93 - Tashkinov Aleksey Grigorievich:
The implementation of lean and digital management techniques using artificial intelligence in industrial settings. 94 - Purva Patel, Lina K. Mohammed Ali, Uma Kaushik, Mallory Wright, Kaylee Green, Jason E. Waligorski, Colin L. Kremitzki, Graham W. Bachman, Serena N. Elia, William J. Buchser:
Classification of iPSC-derived cultures using convolutional neural networks to identify single differentiated neurons for isolation or measurement. 95 - Dagne Walle Girmaw, Tsehay Wasihun Muluneh:
Deep convolutional neural network model for classifying common bean leaf diseases. 96 - Osim Kumar Pal, Md Sakib Hossain Shovon, Muhammad Firoz Mridha, Jungpil Shin:
In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges. 97 - Hongping Sun, Biao Kong:
Sustainable improvement and application of multilingual english translation quality using T5 and MAML. 98 - Mengyuan Zhao, Puja Kumari, Eashwar Madhavan Perumal, Zhen Hou:
Developing generative AI functionalities in a social LMS. 99
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