This review paper provides a general overview of Organic Solar Cells (OSCs), more precisely their instability and commercialization challenges. […] Despite significant advances made, with power conversion efficiencies (PCEs) over 20% under laboratory conditions, the biggest challenge for wide-scale commercialization remains poor device stability and scalability. […] Notably, the synergistic effect of optimizing the active …

Toward Commercial Viability: A Comprehensive Review of Organic Solar Cell Stability and ScalabilityRead More

This paper presents the development and validation of a real time predictive control system for a multiple effect industrial juice evaporator using an Adaptive Neuro Fuzzy Inference System (ANFIS). Traditional control schemes like PID controllers and AI models often struggle to handle the nonlinearities, long delays, and coupling effects in evaporation processes, leading to suboptimal …

Development Of a Predictive Model for Evaporation Unit Based on Critical FactorsRead More

Maintaining precise altitude during aggressive maneuvers is a significant challenge for fixed-wing UAVs, particularly in high-speed flight, aerobatic maneuvers, and extreme conditions. These aircraft need to control altitude during sharp turns, quick climbs and descents, high-G maneuvers, and aerobatic sequences that involve significant attitude changes and nonlinear aerodynamics. This review looks at the latest control …

Advanced Control Strategies for Altitude Maintenance in Fixed-Wing UAVs During Extreme Maneuvers – A ReviewRead More

Multi-modal artificial intelligence (AI) in personality forecasting can have revolutionary effects in hiring, psychological diagnosis, and anthropomorphic interaction. Deep learning architectures based on audio, visual, and textual data via behavioral cues tend to be efficient when the correct hypothesis is stated in the context of the Five Factor Model (OCEAN)or by deciphering benchmarks (e.g., the …

Multi-modal Personality Predictions and Fairness aware AI Techniques A Review of Methods, Bias Mitigation and Future PerspectivesRead More

The explosive increase in data generation has resulted in an unprecedented need for the availability of scalable and cost-effective big data processing solutions. Although traditional high-performance computing clusters have rich functionality, the energy and cost requirements are high, which inhibits the ability of education facilities, small research groups, and organizations with limited resources to adopt …

A Comprehensive Review of Low-Cost Big Data Clusters Using Single Board Computers Architectures, Performance, and ApplicationsRead More