Exploring foci of
2025-02-23
Artificial Intelligence in Art: Bridging the Gap Between Automation and Human Expression
2025-02-23 • Hasan Rammal, Hussin Hejase, Ali El Takach
The role of artificial intelligence (AI) in art is examined in this study, focusing on how AI can bridge the gap between automation and human creativity. Using a qualitative approach, the study gathers information through in-depth interviews with academics, artists, and professionals in the art field to understand their perspectives on integrating AI into the creative process. The study looks at how AI technologies affect artistic creation, from creating new works of art to enhancing conventional techniques. It in…
List Of Artificial Objects On The Moon
Artificial Island
Mit Computer Science And Artificial Intelligence Laboratory
Emotional Intelligence
On Intelligence
Artificial Intelligence Act
Supreme Intelligence
Ambient Intelligence
Dog Intelligence
Exploring foci of
2025-08-01
A Hybrid Metaheuristic Framework with Reinforcement Learning–Based Heuristic Selection for Large-Scale Combinatorial Optimization
2025-08-01 • Kassem Danach, Hassan Harb, Hussin Hejase, Louai Saker
This paper proposes a novel Hybrid Metaheuristic Framework (HMF) that integrates multiple optimization strategies within a self-adaptive mechanism for solving large-scale combinatorial problems. Unlike traditional metaheuristics, which rely on fixed algorithmic parameters and predefined strategies, HMF dynamically selects and adjusts heuristic operators using a reinforcement learning-based adaptive mechanism. Specifically, the framework employs Deep Q-Learning to guide real-time parameter tuning and metaheuristic …
Hybrid × Heart Magias Academy Ataraxia
Hybrid Electric Vehicle
Australian Qualifications Framework
Hybrid Vehicle
Department Of Defense Architecture Framework
Ford Fusion Hybrid
Electron (Software Framework)
Django (Web Framework)
Toyota Prius Plug-In Hybrid
Exploring foci of
2025-08-24
Neural Network Implementation for CRC Awareness Prediction
2025-08-24 • Ale J. Hejase, Ali A. Haidous, Ahmad A. HejaseBazzi, Hussin Hejase
Artificial Intelligence (AI) is prevalent, driven by the resurgence of machine learning (ML) and advancements in data-driven applications, which have created new opportunities to surpass traditional statistical limits in health analytics. This study develops and assesses a deep artificial neural network (ANN) to predict public awareness of Colorectal Cancer (CRC) using six demographic and socioeconomic factors: age, gender, marital status, educational level, work status, and place of residence. Primary data were c…
Big Ten Network
Globalization And World Cities Research Network
Cartoon Network (Canadian Tv Channel)
Virtual Network Computing
Network Rail
Neural Oscillation
Residual Neural Network
Network Interface Controller
Wireless Mesh Network
Exploring foci of
2025-08-07
Colorectal Cancer (CRC) Awareness in Lebanon among the Young, Highly Educated Population
2025-08-07 • Ale J. Hejase, Hussin Hejase, Riad Kassem, Ahmad A. HejaseBazzi
The number of individuals diagnosed with colorectal cancer (CRC) is rising, coinciding with increased efforts to raise awareness about preventive healthcare. Awareness of CRC is crucial for early detection and higher survival rates. Although progress has been made globally, significant disparities still exist, especially in low- and middle-income regions like the Arab world. Lebanon's increasing CRC rates demand urgent, targeted actions to raise awareness, promote screening, and ultimately decrease mortality. This…
Liver Cancer
Cancer Immunotherapy
World Autism Awareness Day
Kidney Cancer
The Hallmarks Of Cancer
History Of Cancer
Mental Health Awareness Month
Cancer Alley
Bladder Cancer
Exploring foci of
2025-10-07
The Illusion of Escalation: A Critical Reassessment of Rising Trends in Colorectal Cancer Incidence: Case of Lebanon
2025-10-07 • Ale J. Hejase, Ali A. Haidous, Ahmad A. HejaseBazzi, Hussin Hejase
Colorectal cancer (CRC) is widely recognized as an increasing global health issue, with many studies noting rising case numbers and forecasting significant future impacts. This paper critically evaluates the accuracy of these projections, suggesting that the perceived rise in CRC cases is primarily driven by three major non-epidemiological factors: global population growth, advances in medical information systems and cancer registries, and greater public awareness from health campaigns. When these factors are cons…
The Grand Illusion
Critical Success Factor
Critical Rationalism
Illusion
Moon Illusion
Hazard Analysis And Critical Control Points
Critical Geopolitics
Spectacle (Critical Theory)
Müller-Lyer Illusion