Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…To fill existing gaps, we propose further research on AI-driven hybrid models that integrate real-time data analytics with predictive algorithms, enabling proactive load management in ultra-reliable 5G/6G architectures. …”
Get full text

Comparative Analysis of BERT and GPT for Classifying Crisis News with Sudan Conflict as an Example by Yahya Masri, Zifu Wang, Anusha Srirenganathan Malarvizhi, Samir Ahmed, Tayven Stover, David W. S. Wong, Yongyao Jiang, Yun Li, Qian Liu, Mathieu Bere, Daniel Rothbart, Dieter Pfoser, Chaowei Yang

Get full text

Artificial Intelligence in Healthcare: Innovation and Impact in Medical Practice by Amelia-Maria ISAC, Corina VERNIC

“…Future research should prioritize the integration of AI with traditional statistical methodologies to enhance interpretability, reliability, and real-world applicability. …”
Get full text

Embracing or rejecting AI? A mixed-method study on undergraduate students’ perceptions of artificial intelligence at a private university in China by Yifu Li, Nilo Jayoma Castulo, Xiaoyuan Xu, Xiaoyuan Xu

“…Moreover, students generally viewed AI positively and perceived AI integration as inevitable and becoming common in academic settings. …”
Get full text

AI-based model for Prediction of Power consumption in smart grid-smart way towards smart city using blockchain technology by Emran Aljarrah

“…To achieve precise load forecasting, a short-term recurrent neural network with an improved sparrow search algorithm (LSTM-RNN-ISSA) is incorporated. The smart grid may then record the projected results. …”
Get full text

Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study by Ravi Shankar, Anjali Bundele, Amanda Yap, Amartya Mukhopadhyay

“…The NLP algorithm will analyze conversations to generate burden scores at baseline and at 12 weeks. …”
Get full text

Adaptive AI-Driven Toll Management: Enhancing Traffic Flow and Sustainability Through Real-Time Prediction, Allocation, and Task Optimization by Satendra Chandra Pandey, Vasanthi Kumari P

“…The study underscores the potential of integrating AI and randomized algorithms in modern toll management, offering a scalable and adaptive solution for sustainable transportation infrastructure.…”
Get full text

AgriChainSync: A Scalable and Secure Blockchain-Enabled Framework for IoT-Driven Precision Agriculture by Hassam Ahmed Tahir, Walaa Alayed, Waqar Ul Hassan, Fahad Nabi, Truong X. Tran

“…The findings underscore the potential of integrating IoT, blockchain, and AI under one umbrella, supporting large-scale farming operations.…”
Get full text

Habit Predicting Higher Education EFL Students’ Intention and Use of AI: A Nexus of UTAUT-2 Model and Metacognition Theory by Shaista Rashid

“…The study suggests implications for EFL experts, academia, and policymakers to strategically integrate AI into language learning by informing them of its potential benefits and risks.…”
Get full text

Exploring community pharmacist's psychological intentions to adopt generative artificial intelligence (GenAI) chatbots for patient information, education, and counseling by Hafidz Ihsan Hidayatullah, Muhammad Taufiq Saifullah, Muhammad Thesa Ghozali, Ayesha Aziz

“…Generative AI (GenAI) chatbots, driven by advanced machine learning algorithms, are emerging as transformative tools for enhancing patient education, information dissemination, and counseling (EIC) in healthcare. …”
Get full text

A Review of Emerging Techniques for Power Quality Improvement in Renewable Energy Integration by Kumar P. Rajesh, Shravani Chapala, Rajitha M., Lokeshwar Reddy Ch.

“…The growing integration of renewable energy sources (RES) into power grids presents significant challenges to maintaining power quality (PQ) due to the inherent variability and intermittency of these energy resources. …”
Get full text

One scan, multiple insights: A review of AI-Driven biomarker imaging and composite measure detection in lung cancer screening by Saher Verma, Leander Maerkisch, Alberto Paderno, Leonard Gilberg, Bianca Teodorescu, Mathias Meyer

“…In an era where early detection of diseases is paramount, integrating artificial intelligence (AI) into routine lung cancer screening offers a groundbreaking approach to simultaneously uncover multiple health conditions from a single scan. …”
Get full text

AI powered blockchain framework for predictive temperature control in smart homes using wireless sensor networks and time shifted analysis by Cong Feng, Ahmed Kateb Jumaah Al-Nussairi, Mustafa Habeeb Chyad, Narinderjit Singh Sawaran Singh, Jianyong Yu, Amirfarhad Farhadi

“…The framework integrates machine learning (ML) algorithms for predictive temperature management, blockchain technology for secure data handling, and edge computing for real-time data processing, resulting in a highly efficient and secure system. …”
Get full text

Flood-tech frontiers: smart but just? A systematic review of AI-driven urban flood adaptation and  associated governance challenges by Johannes Bhanye

“…Key limitations include the poor transferability of AI models across geographies, a lack of participatory design, and risks of algorithmic exclusion in already marginalized urban areas. …”
Get full text

DeepD&Cchl: an AI tool for automated 3D single-cell chloroplast detection, counting, and cell type clustering by Qun Su, Le Liu, Zhengsheng Hu, Tao Wang, Huaying Wang, Huaying Wang, Qiuqi Guo, Xinyi Liao, Yan Sha, Feng Li, Zhao Dong, Zhao Dong, Shaokai Yang, Shaokai Yang, Ningjing Liu, Qiong Zhao, Qiong Zhao, Qiong Zhao

“…It utilizes You-Only-Look-Once (YOLO), a real-time detection algorithm, for accurate and efficient performance. …”
Get full text

Mammography In Breast Cancer Screening – Current Knowledge, Challenges, The Impact of Artificial Intelligence, And Effectiveness With A Focus On Poland by Maciej Pachana, Marcin Piersiak, Hubert Sawczuk, Anna Tomasiewicz, Jan Zabierowski, Piotr Kukuła, Julia Marschollek, Maciej Ziomek

“…However, effective implementation of AI requires seamless integration with clinical systems and ongoing research to refine algorithms for diverse clinical needs. …”
Get full text

Enhancing Last-Mile Logistics: AI-Driven Fleet Optimization, Mixed Reality, and Large Language Model Assistants for Warehouse Operations by Saverio Ieva, Ivano Bilenchi, Filippo Gramegna, Agnese Pinto, Floriano Scioscia, Michele Ruta, Giuseppe Loseto

“…The framework prioritizes the customizability of AI algorithms and real-time information sharing between stakeholders. …”
Get full text

Coupling HEC-RAS and AI for River Morphodynamics Assessment Under Changing Flow Regimes: Enhancing Disaster Preparedness for the Ottawa River by Mohammad Uzair Anwar Qureshi, Afshin Amiri, Isa Ebtehaj, Silvio José Guimere, Juraj Cunderlik, Hossein Bonakdari

Get full text

Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings by Xiao-Han Vivian Yap, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chia-Jung Chen, Chung-Feng Liu, Tee-Tau Eric Nya, Ching-Lung Kuo

“…This study aims to construct a mortality prediction model for patients with SICH using four various artificial intelligence (AI) machine learning algorithms. Method A retrospective analysis was conducted on electronic medical records of SICH patients aged 20 and above, admitted to Chi Mei Medical Center’s intensive care unit between January 2016 and December 2021. …”
Get full text

Ethical Norms for the Use of Artificial Intelligence in Education by Galya Kozhuharova, Mihail Kozhuharov

“…Finally, guidelines are proposed for the integration of AI into the educational process, with an emphasis on ethical standards and social responsibility.…”
Get full text