Exploring extensions of neurotransmitter-based emotion models by João Ricardo Pinheiro, Paulo de Tarso Fernandes, Augusto Baffa, Bruno Feijó

Get full text

A secure medical image encryption technique based on DNA cryptography with elliptic curves by V. N. Senthil Kumaran, T. Manikandan, Rajesh Kumar Dhanaraj, Taher Al-Shehari, Nasser A. Alsadhan, Shitharth Selvarajan

Get full text

Mapping the use of artificial intelligence in medical education: a scoping review by Erwin Hernando Hernández Rincón, Daniel Jimenez, Lizeth Alexandra Chavarro Aguilar, Juan Miguel Pérez Flórez, Álvaro Enrique Romero Tapia, Claudia Liliana Jaimes Peñuela

“…Abstract Introduction The integration of artificial intelligence (AI) in healthcare has transformed clinical practices and medical education, with technologies like diagnostic algorithms and clinical decision support increasingly incorporated into curricula. …”
Get full text

Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

Get full text

IoT driven healthcare monitoring with evolutionary optimization and game theory by Shitharth Selvarajan, Hariprasath Manoharan, Taher Al-Shehari, Nasser A. Alsadhan, Subav Singh

“…Abstract In this paper the game theory procedures are applied for healthcare monitoring systems and it is analysed using two types of evolutionary algorithms that incorporate Artificial Intelligence (AI) based events. …”
Get full text

Emergence of Technology Driven Promotional Strategies for Commercialised Indian Cinema by Singh Vikash, Dahiya Surbhi, Abraham Albert, Tausif Ahmad

“…Although there are several studies which highlighted some marketing strategies for film promotion but none could provide an integrated marketing approach. Keeping this in mind, this research paper provides an effective integrated marketing approach in sync with digital technologies such as Internet of Things (IoT), Machine Learning (ML), Artificial Intelligence (AI), Virtual Reality (VR) and Big Data to Indian film industry by reviewing previous research studies. …”
Get full text

Research on intelligent technology for broken chain monitoring on scraper conveyors by LI Lingfeng, ZHANG Jie, CHEN Zhuo, ZHA Tianren, YIN Rui

“…To address the issues of existing AI algorithm-based broken chain monitoring technologies for underground coal mine scraper conveyors, including poor online learning ability, low detection accuracy, instability, and inadequate adaptability and reliability in complex scenarios, an online sequential extreme learning machine (OSELM) network was developed by integrating incremental online training into the extreme learning machine (ELM). …”
Get full text

Novel load balancing mechanism for cloud networks using dilated and attention-based federated learning with Coati Optimization by Atul B. Kathole, Viomesh Kumar Singh, Ankur Goyal, Shiv Kant, Amit Sadanand Savyanavar, Swapnaja Amol Ubale, Prince Jain, Mohammad Tariqul Islam

Get full text

Groundwater estimation and determination of its probable recharge source in the Lower Swat District, Khyber Pakhtunkhwa, Pakistan, using analytical data and multiple machine learni... by Imran Ahmad, Ibrar Ul Haq, Mansoor Ahmad, Iram Gul, Mursaleen Khan, Khushnuma Khushnuma, Ubaid Ullah, Maqsood Ur Rehman, Mohamed Metwaly

“…This study addresses the lack of integrated hydrogeochemical and machine learning approaches in groundwater assessment, particularly in complex mountainous terrains like the Lower Swat District, Pakistan. …”
Get full text

Augmented intelligence with voice assistance and automated machine learning in Industry 5.0 by Alexandros Bousdekis, Mina Foosherian, Mattheos Fikardos, Stefan Wellsandt, Katerina Lepenioti, Enrica Bosani, Gregoris Mentzas, Klaus-Dieter Thoben

Get full text

Prediction of hydrogen production in proton exchange membrane water electrolysis via neural networks by Muhammad Tawalbeh, Ibrahim Shomope, Amani Al-Othman, Hussam Alshraideh

“…The prediction and optimization of hydrogen production rates (HPRs) in PEMWE systems is difficult and still challenging because of the complexity of the system as well as the operational parameters. The integration of artificial intelligence (AI) and machine learning (ML) appears to be effective in optimization within the energy sector. …”
Get full text

Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe by Nurul Hanis Mohd Dhuzuki, Ahmad Anwar Zainuddin, Nur Anis Sofea Kamarul Zaman, Alin Nur Maisarah Ahmad Razmi, Wonderful Shammah Kaitane, Asmarani Ahmad Puzi, Mohd Naqiuddin Johar, Maslina Yazid, Nor Azlin Mohd Nordin, Shahrul Naim Sidek, Hasan Firdaus Mohd Zaki

Get full text

Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling by Yu Li, Xiangjun Liu, Jingwen Zhou, Fengjiao Li, Yuting Wang, Qingzhong Liu

“…To enhance the reliability and scalability of AI in TCM target prediction, future research should prioritize continuous optimization of the AI algorithms using zero-shot learning, end-to-end architectures, and self-supervised contrastive learning.…”
Get full text

Modeling, optimization, and thermal management strategies of hydrogen fuel cell systems by Abubakar Unguwanrimi Yakubu, Liu Qingsheng, Meng Kai, Chen Jinwei, Omer Abbaker Ahmed Mohammed, Jiahao Zhao, Qi Jiang, Xuanhong Ye, Junyi Liu, Qinglong Yu, Muhammad Aurangzeb, Shusheng Xiong

“…Emphasis is placed on AI-enhanced energy management systems (EMS) capable of real-time control by integrating stress, degradation, and load conditions. …”
Get full text

MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics by Brett Addison Emery, Xin Hu, Diana Klütsch, Shahrukh Khanzada, Ludvig Larsson, Ionut Dumitru, Jonas Frisén, Joakim Lundeberg, Gerd Kempermann, Hayder Amin

Get full text

A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling by Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…This paper proposes a framework that integrates Digital Twin (DT) systems with Artificial Intelligence (AI) algorithms for intelligent building energy consumption assessment by developing real-time virtual twin representations. …”
Get full text

LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds by Veljka Kocic, Niko Lukac, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier del Ser, Andreas Holzinger

“…Point Cloud Data analysis has seen a major leap forward with the introduction of PointNet algorithms, revolutionizing how we process 3D environments. …”
Get full text

A Heuristic Enhancing Artificial Immune System for Three-dimensional Loading Capacitated Vehicle Routing Problem by Peeraya Thapatsuwan, Warattapop Thapatsuwan, Chaichana Kulworatit

“…The En-AIS algorithm is further refined through rigorous parameter tuning using a full factorial design and ANOVA analysis. …”
Get full text

Unveiling the Hidden Menace: A Topic Modeling Analysis of Hijacked Medical Journals by Mehdi Dadkhah, Mihály Hegedűs, Prema Nedungadi, Raghu Raman, Lóránt Dénes Dávid

Get full text

Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…The availability of reliable and well-curated data to train and validate machine learning algorithms and integrate multiple data sources were described as constraints yet necessary for future clinical implementation. …”
Get full text