Diagnosis on the basis of a computerized acoustic examination may play an incredibly important role in early diagnosis and monitoring even improving effective pathological speech diagnostics. Various metrics test health voice. The precision these parameters also has to do with algorithms for detection noise. idea is detect disease pathology from First, we apply feature extraction SVD dataset. After extraction, system input goes into 27 neuronal layer neural networks that are convolutional...

Software-defined network (SDN) and vehicular ad-hoc (VANET) combined provided a software-defined (SDVN). To increase the quality of service (QoS) vehicle communication to make overall process efficient, researchers are working on VANET systems. Current research work has made many strides, but due following limitations, it needs further investigation research: Cloud computing is used for messages/tasks execution instead fog computing, which increases response time. Furthermore, fault...

<abstract> <p>Voice pathologies are irregular vibrations produced due to vocal folds and various factors malfunctioning. In medical science, novel machine learning algorithms applied construct a system identify disorders that occur invoice. This study aims extract the features from audio signals of four chosen diseases SVD dataset, such as laryngitis, cyst, non-fluency syndrome, dysphonia, then compare results algorithms, i.e., SVM, Naïve Byes, decision tree ensemble classifier....

Private automobiles are still a widely prevalent mode of transportation. Subsequently, traffic congestion on the roads has been more frequent and severe with continuous rise in numbers cars road. The estimation flow, or conversely, identification, is critical importance wide variety applications, including intelligent transportation systems (ITS). Recently, artificial intelligence (AI) limelight for sophisticated ITS solutions. However, AI-based schemes typically heavily dependent quantity...

Traffic congestion, accidents, and pollution are becoming a challenge for researchers. It is essential to develop new ideas solve these problems, either by improving the infrastructure or applying latest technology use existing better. This research paper presents high-resolution dataset that will help community apply AI techniques classify any emergency vehicle from traffic road noises. Demand such datasets high as they can control flow reduce congestion. also improves response time,...

Respiratory disorders are commonly regarded as complex to diagnose due their multi-factorial nature, encompassing the interplay between hereditary variables, comorbidities, environmental exposures, and therapies, among other contributing factors. This study presents a Clinical Decision Support System (CDSS) for early detection of respiratory using one-dimensional convolutional neural network (1D-CNN) model. The ICBHI 2017 Breathing Sound Database, which contains samples different breathing...

This paper presents an adaptive control scheme for streetlights by optimizing the energy consumed using deep learning during late hours at night. A city’s infrastructure is not complete without a proper lightening system streets and roads. The streetlight systems often consume up to 50% of electricity utilized city. Due this reason, it has huge financial impact on generation Furthermore, continuous luminosity contributes environmental pollution as well. Economists ecologists around globe are...

Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. It does not require any system modeling complex mathematical equations governing relationship between inputs and outputs. rules are very easy learn use, even by non-experts. typically takes only a few describe systems that may several lines of conventional software code, which reduces design complexity. By considering these...

Traffic density is growing day by due to the increasing population and affordable prices of cars. It created a void for traffic management systems cope with congestion prioritize ambulances. The consequences can be terrible situation. Emergency vehicles are most affected in these situations, inadequate control put many lives at stake. Ambulances on road detected using an acoustic-based Artificial Intelligence system this article. vehicle siren noise datasets have been developed ambulance...

Communication between normal people and deaf is the most difficult part of daily life worldwide. It for a person to understand word from one in their routine. So, communicate with people, different countries developed sign languages make communication easy. In Pakistan, government Urdu Sign Language people. Physical trainers experts are provide everywhere society, so we need such computer/mobile-based system convert symbol into voice written alphabet that can easily get intentions one. this...

Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. However conventional FLC (CFLC) performance greatly dependent on its inference rules. In most cases, more rules being applied a FLC, accuracy of action enhanced at expense longer computational time. As result, implementation requires fast and high processors. this paper, it shown that rule table two-input FLCs used magnetic levitation...

Image processing-based artificial intelligence algorithm is a critical task, and the implementation requires careful examination for selection of processing unit. With advancement technology, researchers have developed many algorithms to achieve high accuracy at minimum requirements. On other hand, cost-effective high-end graphical units (GPUs) are now available handle complex tasks. However, optimum configurations various deep learning implemented on GPUs yet be investigated. In this...

After skin cancer, the most common type of cancer is breast among world population. Breast leading cause cancer-induced mortality women. frequently diagnosed by using biopsies in which tissue removed from and studied under a microscope. The results these are based on qualifications experience pathologist who diagnoses abnormal cell With emergence advancements fields image processing artificial intelligence, there an area interest developing deep learning model to improve enhance quality...

Laser Induced Breakdown Spectroscopy is a strong analytical method for qualitative studies and Support Vector Machines (SVM) powerful machine learning technique pattern recognition classification. In this paper we present an application of LIBS capability reinforced by SVM Three different samples were ablated Nd:YAG laser their spectra recorded Ocean Optics HR4000 spectrometer. These possess signatures the materials. Sometimes these are visible to naked eye while in many cases it hard decide...

Retrieving videos based on its contents is becoming an increasingly popular area of research, because enormous growth in the availability multimedia information public databases like Google and YouTube. Usually contain large variety data but majority online human as a subject interest. In this paper, action video retrieval system presented which can be used to retrieve query. The proposed search containing particular efficiently. Furthermore, it also shown that by using features weight...

This paper’s primary goal is to develop an agriculture drone for spraying pesticides. We discuss architecture based on unmanned aerial vehicles (UAVs) in this study. Pesticides must be used if the quality of large-scale output maintained. It crucial increase agriculture's production and efficiency by employing cutting-edge technology replace employees with intelligent equipment like robots. The research suggests a novel method people number agricultural tasks, including identification insect...