Machine learning
A new study from Northern Technical University has successfully developed a Letter Recognition System (LRS) for individuals with visual impairments, using a Deep Convolutional Neural Network (DCNN) to recognize printed letters with a remarkably high accuracy of 99.70%. This innovative technology has the potential to revolutionize the way blind
Machine learning
Recent research at Dalian University of Technology in Liaoning, People's Republic of China, has made significant strides in the field of artificial intelligence, particularly in the area of machine learning. The study, published in the Journal of Engineering, has introduced a new framework for counterfactual explanation in machine
Environmental sustainability
A new study published in Applied Energy has shed light on the complexities of sustainable energy transitions. The research, conducted by investigators at Polytechnic University Milan, emphasizes the need to integrate political economy and ecology perspectives to understand the socio-technical systems driving energy consumption. The study concludes that a bottom-up
Machine learning
Researchers from Technical University Valencia (TU Valencia) have made a significant breakthrough in using Artificial Intelligence (AI) to optimize patient care in emergency departments. During Seasonal Respiratory Diseases (SRDs), emergency departments often experience nursing shortages, leading to increased patient waiting times, overcrowding, and high infection rates. The study proposes merging
Environmental sustainability
A new study published in Transportation Research Part A-policy and Practice explores the impact of the European Union Emissions Trading System (EU ETS) on shipping decarbonization. The research, conducted by Yonggang Li and his team from the Dalian University of Technology, finds that moderate green preferences and carbon quota prices
Environmental sustainability
A new study published in the Discover Sustainability journal has shed light on the spatio-temporal dynamics of land use and land cover in the Weito River Catchment in Ethiopia. The research, conducted by a team from the Addis Ababa Science and Technology University, used remote sensing and CA Markov modeling
Machine learning
Researchers at Veer Surendra Sai University of Technology have published a new report on the use of artificial intelligence in improving short-term load forecasting (STLF) in contemporary power networks. The study examined the effectiveness of particle swarm optimization (PSO), enhanced particle swarm optimization (EPSO), and artificial neural network (ANN) methods
Environmental sustainability
Researchers at Qilu University of Technology have developed a revolutionary method to create porous 3D structures from agricultural waste, specifically corn stalk pith, that exhibit exceptional resilience and stability. These structures have tremendous potential in various applications, including oil-water separation, flexible electronics, and thermal insulation. The innovative approach leverages a
Environmental sustainability
Researchers at Polytechnic University Milan have proposed a novel approach to reducing energy consumption and carbody vibration in high-speed trains through the use of a convolutional neural network (CNN) driven control strategy. The study was funded by the National Key Research and Development Program of China and the H2020 Marie
Machine learning
Researchers at K.N. Toosi University of Technology have developed a lightweight and efficient solution for detecting cyber attacks in critical infrastructure systems. By employing the Kolmogorov-Arnold network (KAN), the team has achieved high classification accuracy while minimizing computational overhead, making it a practical solution for real-time CPS security. This
Machine learning
Researchers at Taiyuan University of Technology have developed a fusion model that combines mechanism-based and machine learning methods to predict NOx emission concentration in CFB units with high accuracy. The model uses a one-dimensional semi-empirical model to simulate hydrodynamics, combustion, and NOx generation in the furnace, and a gated recurrent
Machine learning
A recent study published in the journal Discover Artificial Intelligence has presented a novel approach to improving the comfort and wearability of clothing through the use of fuzzy logic-based optimization. Researchers from the Jingzhou Institute of Technology have developed a smart clothing comfort evaluation and adjustment system that can dynamically
