Improving Network Security: An Intelligent IDS with RNN-LSTM and Grey Wolf Optimization by murtadha ali

“…The research advances IDSs, addressing the limitations of traditional systems, and underscores the potential of AI and optimization in complex network security. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…This paper introduces a Crude Oil-Driven Conditional GAN (CO-CGAN), a hybrid model for enhancing crude oil price forecasting by combining advanced AI frameworks (GANs), oil market sentiment analysis, and stochastic jump-diffusion models. …”
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Nutrient transport by overland sheet flow on sites containing swine slurry by John E. Gilley

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Hybrid machine learning-based 3-dimensional UAV node localization for UAV-assisted wireless networks by Workeneh Geleta Negassa, Demissie J. Gelmecha, Ram Sewak Singh, Davinder Singh Rathee

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The Theranostic Genome by Xiaoying Xu, Pablo Jané, Vincent Taelman, Eduardo Jané, Rebecca A. Dumont, Yonathan Garama, Francisco Kim, María del Val Gómez, Karim Gariani, Martin A. Walter

“…Using a deep learning-based hybrid human-AI pipeline that cross-references PubMed, the Gene Expression Omnibus, DisGeNET, The Cancer Genome Atlas and the NIH Molecular Imaging and Contrast Agent Database, we bridge individual genes in human cancers with respective theranostic compounds. …”
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Improving Diabetic Patients Monitoring System Using (NCA-CNN) Algorithm based on loT by Ayas Talib Mohammad, Jaber Parchami

“… The Internet of Things (IoT) and Artificial Intelligence (AI), particularly Machine Learning (ML), have both seen significant advancements in recent years, which has resulted in significant leaps forward in the development of health monitoring systems. …”
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TQFLL: a novel unified analytics framework for translation quality framework for large language model and human translation of allusions in multilingual corpora by Li Yating, Muhammad Afzaal, Xiao Shanshan, Dina Abdel Salam El-Dakhs

“…This study compares Chinese allusions in human and machine translated corpora translated by OpenAI GPT-3.5, Volctrans, and human translated texts. …”
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Trends and collaborations in case-based learning for online health education: a bibliometric analysis (2014-2024) by Agung Budiawan, Murti Kusuma Wirasti, Dwi Kusumawardani

“…In addition, integrating educational technologies such as digital simulation platforms and artificial intelligence (AI) has strengthened the adoption of CBL in online environments. …”
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Valorizzare il passato by Federica Giuliani

“…L’edizione 2024, curata dall'architetto Raffaele Ascenzi e dal suo team, ha presentato un’installazione verde effimera ispirata alle decorazioni cosmatesche e ai giardini rinascimentali, intrecciando tradizione e innovazione all’interno del tessuto urbano medievale. …”
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Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs by Michell O. Almeida, Artur C. G. Soares, Gustavo H. M. Sousa, Witor R. Ferraz, Gustavo Trossini

“…However, ChatGPT does possess some limitations, such as frequent occurrences of artificial hallucinations (a response generated by AI that comprises erroneous or misleading information presented as true), the inability to process multimodal information, and the potential for biases in its training datasets. …”
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On the legal implications of Large Language Model answers: A prompt engineering approach and a view beyond by exploiting Knowledge Graphs by George Hannah, Rita T. Sousa, Ioannis Dasoulas, Claudia d’Amato

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Anthropomorphism in artificial intelligence: a game-changer for brand marketing by Sofia Gomes, João M. Lopes, Elisabete Nogueira

“…This research illuminates a new path in the domain of AI-enabled brand interactions, showing the distinct influence of anthropomorphism in chatbots on customer satisfaction, trust and loyalty, thus revolutionizing traditional paradigms of consumer-brand engagement and decision-making processes. …”
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Las gestiones de Manuel de Frías en la corte de Madrid by Herib Caballero Campos

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Machine-Learning-Driven Identification of Electrical Phases in Low-Sampling-Rate Consumer Data by Dilan C. Hangawatta, Ameen Gargoom, Abbas Z. Kouzani

“…The proposed model demonstrates superior performance compared to existing classification, clustering, and AI methods, highlighting its robustness and adaptability to varying sampling durations and providing valuable insights for improving grid management strategies.…”
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Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

“…The river flow forecast accuracy of SSA-ELM outperformed the classical ELM and other artificial intelligence (AI) models. Over the testing phase, the proposed SSA-ELM model yielded a satisfactory enhancement in the level accuracies (8.4 and 13.1 percentage of augmentation for RMSE and MAE, respectively) against the classical ELM model. …”
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La población indígena en el nordeste del espacio rioplatense según la mirada de los gobernadores en la primera mitad del siglo XVII by María Laura Salinas

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Global research trends in seismic landslide: A bibliometric analysis by Mengjie Yang, Shenghua Cui, Tao Jiang

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Spelling correction with large language models to reduce measurement error in open-ended survey responses by Maxwell B. Allamong, Jongwoo Jeong, Paul M. Kellstedt

“…This paper provides evidence that large language models (LLMs), specifically OpenAI’s GPT-4o, offer a flexible, dependable, and low-cost solution to correcting misspellings in open-ended responses. …”
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First-principles investigation of adhesion strength and interfacial bonding in Mg/X (X = Ti, Zr, Hf, V, Nd, Cr, Mo, Mn, and Fe) interface by Longke Bao, Zhifu Yao, Yuhui Zhang, Cuiping Wang, Kaihong Zheng, Rongpei Shi, Xingjun Liu, Fusheng Pan

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A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening by Karthik Adapa, Ashu Gupta, Sandeep Singh, Hitinder Kaur, Abhinav Trikha, Ajoy Sharma, Kumar Rahul

“…This state-wide study, funded by the Government of Punjab, evaluated the use of Thermalytix, a low-cost, radiation-free AI tool, for breast cancer screening. Community health workers, trained to raise awareness, mobilized women aged 30 and above for screening. …”
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