INTEGRATED GRU-LSTM MODEL WITH SENTIMENT FOR FOREX PREDICTION
This paper examines whether or not Augmented Reality (AR) is effective in the acquisition of vocabulary in neurodivergent language learners using the Cognitive Load Theory. The conventional teaching methods tend to cause a lot of extraneous cognitive load that poses a great obstacle to students with ADHD and Autism Spectrum Disorder. To combat this...
By S. Mohan Krishna, M.V. Sangameswar, B. Sujatha
NEURO ADAPTIVE METACOGNITIVE PROMPTING STRATEGIES FOR IMPROVING SELF REGULATED LEARNING AND CRITICAL THINKING IN PSYCHOLOGICAL SCIENCE EDUCATION
The growing recognition of Psychological Science education as a domain that demands higher-level thinking has revealed that students still exhibit chronic shortcomings in self-regulated learning (SRL) and critical thinking. Reports indicate that about 42% of undergraduate psychology students have low metacognitive monitoring accuracy, and more than...
By Nodira Fazilova, Khurshida Komilova, Olmos Avezov, Fatima Nazarova, Salima Akhmedova, Muzaffar Xaydarov, Rano Alimardanova
ENERGY-EFFICIENT LOAD BALANCING AND INTERFERENCE-AWARE USER ASSOCIATION IN LARGE-SCALE HETNETS USING DISTRIBUTED MULTI-AGENT RL
Large-Scale Heterogeneous Networks (HetNets) are needed to deliver high capacity and reliable connectivity, as wireless communication demands. Nevertheless, the high density and diversity of base stations in the settings pose a great challenge in terms of Energy Efficiency (EE), Load Balancing (LB), and Interference Management (IM). Conventional ce...
By Pothula Pavan Kumar Reddy, C. Kamalanathan
UTILIZING GENERATIVE AI CLINICAL PATIENT PERSONAS FOR ENHANCING DIAGNOSTIC ACCURACY AND THERAPEUTIC EMPATHY IN UNDERGRADUATE PSYCHOLOGY TRAINING
There is frequent conflict between diagnostic rigor and therapeutic empathy training in psychology undergraduates because students rarely encounter a variety of complex clinical presentations. This research investigates the usefulness of applying generative artificial intelligence (AI) clinical patient persona (GPT-4) by OpenAI to improve diagnosti...
By Mokhitabon Komilova, Go‘yoxon Yakubova, Shoxista Xolmurotova, Azizbek Mukhamedov, Umida Djalilova, Aliya Kadirbaeva, Bobur Juraev
METAHEURISTIC-BASED OPTIMIZATION OF COMPOSER DEEP LEARNING MODELS FOR SEPSIS PREDICTION AND CLASSIFICATION
Heterogeneous, high-dimensional, and complex clinical data have remained a key challenge for early sepsis detection in intensive care units. This paper introduces a Hybrid GAP-HMSOA-GNN-COMPOSER architecture that incorporates a graph-based relational model and metaheuristic optimization to learn and generate accurate, reliable sepsis predictions. T...
By K. Sameera, P. Amudhavalli
IMPROVING DIAGNOSTIC PRECISION AND THERAPEUTIC EMPATHY IN UNDERGRADUATE PSYCHOLOGY TRAINING WITH GENERATIVE AI-DRIVEN CLINICAL PATIENT PERSONAS
The conventional undergraduate psychology programs find it challenging to offer genuine clinical exposure because of the ethical considerations, the high prices of the standardized patients, and the lack of dynamism of the written case studies. The paper addresses the idea of integrating Generative AI (GenAI)-based clinical persona as a modificatio...
By Odiljon Qobilov, Iltifotxon Abdinazarova, Saida Makhkamova, Gulbahor Kholdorova, Mokhira Kuvvatova, Komila Umarova, Gulchexrabonu Isamova
HYBRID WHALE-GREY WOLF OPTIMIZER FOR ADAPTIVE CLUSTER HEAD SELECTION AND ENERGY CONSERVATION IN WIRELESS SENSOR NETWORKS
WSNs are critical to the contemporary IoT and monitoring, yet the energy constraint, inefficient performance of cluster head (CH) selection, and fluctuating routing diminish the network lifetime and reliability. This paper will introduce a solution to these issues by proposing a Hybrid Whale -Grey Wolf Optimizer (HWGWO) to select the adaptive and e...
By K. Chandrasekhar, G. Prabakaran, P. Dileep Kumar Reddy
DYNAMIC ATTRIBUTE FILTERING FOR HIGH-ACCURACY MALICIOUS ACTIVITY RECOGNITION IN CLOUD PLATFORMS
Cloud computing is a critical infrastructure to the modern digital services, which provides the ability to store data on a scale, distributed computing, and the ability to deploy services flexibly. Moreover, the high rate of cloud environment development has also contributed to the risk of malicious intrusions like the spread of malware, unauthoriz...
By Sanaboyina Madhusudhana Rao, Arpit Jain
EXPLORING THE IMPACT OF INFLUENCER REPUTATION ON ONLINE PROSOCIAL BEHAVIOUR: THE SEQUENTIAL MEDIATING ROLES OF PARASOCIAL INTERACTION AND PERCEIVED HOMOPHILY
This study investigates how the reputation of social media influencers affects online prosocial behaviour, focusing on the sequential mediating roles of parasocial interaction and perceived homophily. Grounded in Source Credibility Theory, Parasocial Interaction Theory, the Similarity-Attraction Paradigm, and Social Cognitive Theory, the research a...
By N. Dhivya Lakshmi, Vijayakanthan Selvaraj
CONSUMER TRUST AND ADOPTION OF DIGITAL LENDING SERVICES INVESTIGATING FACTORS INFLUENCING USER ACCEPTANCE AND CONTINUED USE OF DIGITAL LENDING APPS
The fast digitalization of financial services has introduced a new digital lending platform into the financial services market, which is easy to use and fast to provide credit. Circumference of behavioral intention, however, is a key manifestation of the uptake of these services and largely depends on trust, service quality, perceived ease, and per...
By P Hameem Khan, S.K. Mohammed Altaf, B. Raja Rao, A. MamathKumar, A. Nitheesha