This study introduces a novel evaluation framework for predicting web page performance, utilizing state-of-the-art machine learning algorithms to enhance the accuracy and efficiency of quality assessment. We systematically identify analyze 59 key attributes that influence website derived from an extensive literature review spanning 2010 2024. By integrating comprehensive set performance metrics—encompassing usability, accessibility, content relevance, visual appeal, technical performance—our...

This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GAs) its application on traffic signal system. FLCs have been widely used in many applications diverse areas, such as control system, pattern recognition, processing, forecasting. They are, essentially, rule-based systems, which the definition of these rules fuzzy membership functions is generally based verbally formulated overlap through parameter space. great influence over performance...

This paper discusses signature verification and recognition using a new approach that depends on neural network which enables the user to recognize whether is original or fraud. The introduces into computer scanned images, modifies their quality by image enhancement noise reduction techniques, be followed feature extraction training, finally verifies authenticity of signature. different stages process including: pre-processing, pattern through networks.

 Abstract—In this paper, an intelligent traffic light that controls the flow of was introduced. The proposed system detects level congestion and abnormal situations in two main highways four intersections. collects data information from a video imaging system, which captures interprets images to detect, count vehicles. This will be sent another based on genetic algorithm. makes real time decision determines interval green for each at intersection. is simulated theoretically results indicate...

This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GA) its application on traffic light system. FLCs have been widely used in many applications diverse areas, such as control system, pattern recognition, signal processing forecasting. They are, essentially, ruled-based systems, which the definition of these rules fuzzy membership functions is generally base verbally formulated overlap through parameter space. great influence over...

Advancements in technology have introduced new approaches teaching and learning processes. Machine algorithms analyse recognize patterns of data subsequently become able to make reasonable decisions. In playing complex games, such as chess go, machine even already outperformed humans. This paper presents a software platform ‘DiscimusRW’ that introduces novel approach for teaching, learning, researching random walk theory getting hands-on experience learning. Random represents the foundations...

This paper presents a mobility monitoring system, based on the detection of Bluetooth and WiFi signals emitted by personal portable devices. The work also describes its possibilities tracking in two real scenarios, one inside Spanish city Granada, another highway between Granada Málaga, both with several nodes. They have been deployed trying to solve most difficult issues city, namely automatic accurate hourly traffic, order synchronise traffic lights, for instance. Moreover, their...

New illumination and imaging techniques are continually being developed for cancer diagnosis. They need to be evaluated in the framework of a specific diagnostic problem. In this work, we evaluate usefulness fluorescence within skin This provides monochrome images that encode certain information about deep layers skin, which can particularly interesting diagnosis lesions such as basal cell carcinoma. A broad study candidate features extracted from posed problem was conducted. Afterward, used...

This paper presents a rigorous investigation into the application of state-of-the-art machine learning techniques for automated detection dental issues, utilizing YOLOv3 Algorithm, cutting-edge one-stage object method. The study encompasses meticulous annotation and utilization carefully curated dataset featuring 126 panoramic X-ray images, illustrating diverse range conditions. Among these conditions, primary emphasis is placed on precise six specific problems. Employing advanced computer...

Several cases studies heterogeneous populations of agents playing the Iterated Prisoner's Dilemma with a possible prior commitment and posterior punishment for defection. Two different sets simulations are considered in this work. The first considers non homogeneous mixed agent's types, each behaving according to one strategies considered. second set run spirit genetic algorithms. We consider population that defined by DNA which their strategy is probabilistically defined.