Humans use facial expressions to convey personal feelings. Facial need be automatically recognized design control and interactive applications. Feature extraction in an accurate manner is one of the key steps automatic expression recognition system. Current frequency domain systems have not fully utilized elements muscle movements for recognition. In this paper, stationary wavelet transform used extract features due its good localization characteristics, both spectral spatial domains. More...

One of the most significant risks impacting crops is pests, which substantially decrease food production. Further, prompt and precise recognition pests can help harvesters save damage enhance quality by enabling them to take appropriate preventive action. The apparent resemblance between numerous kinds makes examination laborious takes time. limitations physical pest inspection are required be addressed, a novel deep-learning approach called Faster-PestNet proposed in this work....

Background: Ectopic pregnancy, defined as the implantation of a fertilized ovum outside uterine cavity, is potentially life-threatening condition and leading cause first-trimester maternal mortality. The clinical spectrum wide, ranging from asymptomatic cases to severe hemodynamic compromise, remains underexplored in local settings. This study was designed systematically assess frequency common signs symptoms ectopic pregnancy selected population, aiming enhance early detection improve...

Melanoma is a skin lesion disease; it cancer that caused by uncontrolled growth in melanocytic tissues. Damaged cells can cause damage to nearby and consequently spreads other parts of the body. The aim this research early detection disease, many researchers have already struggled achieved success detecting melanoma with different values for their evaluation parameters, they used machine learning as well deep approaches, we applied approach detection, publicly available dataset...

The quick advancement of the internet facility and rapid uptake social networking sites like Twitter Facebook has led to generation an extensive amount data never seen previously in history humanity. Users are producing disseminating more content than ever because widespread use digital platforms, some which false spreading wrong narratives. Accurate categorization textual documents as fabrication or falsehood is a complicated job. majority research emphasizes certain databases topics, most...

Diabetes is a growing disease which has approximately affected 381 million people over the globe. Among diabetic patients, 30% of adult population diagnosed with Type 2 Mellitus (T2DM). Predicting T2DM at early stages can help avoid serious complications later stages. Data mining (DM) and machine learning (ML) based techniques are gaining popularity in diagnosis, reasons discovery, decision making. Various research studies using DM available literature to predict diabetes but there room...

Large range of tiny, embedded sensor devices capable sensing, communicating and routing data are available now a days. Due to higher failure rate nodes or their mobility, the sink node might not exist in transmission range. We proposed an approach which uses fuzzy logic deal with diverse QoS requirements applications. In this paper, we have designed, Intelligent Intermediate Robust Gateway module, provides efficient consistent based connectivity applications outside world. This defines...

Sepsis is a very fatal disease, causing lot of causalities all over the world, about 2, 70,000 die annually, thus early detection disease would be remedy to prevent this and it big relief family sepsis patients. Different researchers have worked on its prediction but still need an improved model for remains. We compared various machine learning algorithms used dataset publicly available at Physionet.org, contains many empty or Null values, we applied backward filling forward techniques,...

In recent years, we have witnessed a rapid rise in the mortality rate of people every age due to cardiac diseases. The diagnosis heart disease has become challenging task present medical research, and it depends upon history patients. Rapid advancements field deep learning. Therefore, is need develop an automated system that assists experts their decision-making process. this work, proposed novel optimized grid search-based multi-layer perceptron method effectively detect patients earlier...

Sepsis is one of the major trending topics in field Bio-Medical Sciences, a disease, causing lot causalities, and large amount money consumed for diagnosis treatment sepsis found patients. Early detection can decrease patients' death rates give big economic relief to families. Many techniques have been used detect earlier than clinical results are known, but machine learning approaches leading among all other tools. datasets available which more precise results, some researchers use their...

The system architecture for the IVDS/VBI interactive consists of a set top box, base receiver station (BRS), data server and VBI server. Set strips from incoming television signal processes it accordingly. supports all functionality cable converter unit in addition to VGA computer graphics composite video capabilities. service display uses standard hypertext marking language (HTML) definitions. This is same capability used defining Internet Web pages. These HTML files are displayed...