Malaria is a disease activated by type of microscopic parasite transmitted from infected female mosquito bites to humans. fatal that endemic in many regions the world. Quick diagnosis this will be very valuable for patients, as traditional methods require tedious work its detection. Recently, some automated have been proposed exploit hand-crafted feature extraction techniques however, their accuracies are not reliable. Deep learning approaches modernize world with superior performance....

The lung tumor is among the most detrimental kinds of malignancy. It has a high occurrence rate and death rate, as it frequently diagnosed at later stages. Computed Tomography (CT) scans are broadly used to distinguish disease; computer aided systems being created analyze ailment prior stages productively. In this paper, we present fully automatic framework for nodule detection from CT images lungs. A histogram grayscale image computed automatically isolate locale foundation. results refined...

The Cattle Biometrics Dataset is the result of a rigorous process data collecting, encompassing wide range cattle photographs obtained from publicly accessible markets and farms. dataset provided contains comprehensive collection more than 8,000 annotated samples derived several cow breeds. This represents valuable asset for conducting research in field biometric recognition. diversity this context includes ages, genders, breeds, environmental conditions. Every photograph taken different...

Movement analysis of human body parts is momentous in several applications including clinical diagnosis and rehabilitation programs. The objective this research to present a low-cost 3D visual tracking system analyze the movement various during therapeutic procedures. Specifically, marker based motion proposed paper capture information home-based rehabilitation. Different color markers are attached desired joints' locations they detected tracked video encode their information. availability...

Human activity recognition (HAR) aims to recognize the actions of human body through a series observations and environmental conditions. The analysis activities has drawn attention research community in last two decades due its widespread applications, diverse nature activities, recording infrastructure. Lately, one most challenging applications this framework is using unobtrusive wearable motion sensors. Since daily life (e.g., cooking, eating) comprises several repetitive circumstantial...

Recently, the research community has shown significant interest in continuous temporal data obtained from motion sensors wearable devices. These are useful for classifying and analysing different human activities many application areas such as healthcare, sports surveillance. The literature presented a multitude of deep learning models that aim to derive suitable feature representation sensory input. However, presence substantial quantity annotated training is crucial adequately train...

Farmland trees are a vital part of the local economy as used by farmers for fuelwood well food, fodder, medicines, fibre, and building materials. As result, mapping tree species is important ecological, socio-economic, natural resource management. The study evaluates very high-resolution remotely sensed WorldView-2 (WV-2) imagery classification in agroforestry landscape Kano Close-Settled Zone (KCSZ), Northern Nigeria. Individual crowns extracted geographic object-based image analysis...

This paper addresses the problem of feature encoding for gait analysis using multimodal time series sensory data. In recent years, dramatic increase in use numerous sensors, e.g., inertial measurement unit (IMU), our daily wearable devices has gained interest research community to collect kinematic and kinetic data analyze gait. The most crucial step is find set appropriate features from continuous accurately represent human locomotion. presents a systematic assessment extraction techniques....

Most human detection algorithms in depth images perform well detecting and tracking the movements of a single object. However, their performance is rather poor when person occluded by other objects or there are multiple humans present scene. In this paper, we propose novel technique which analyzes edges image to detect people. The proposed detects head through fast template matching algorithm verifies it 3D model fitting technique. entire body extracted from using simple segmentation scheme...

Movement analysis of infants' body parts is momentous for the early detection various movement disorders such as cerebral palsy. Most existing techniques are either marker-based or use wearable sensors to analyze disorders. Such work well adults, however they not effective infants wearing markers may cause discomfort them, affecting their natural movements. This paper presents a method help clinicians in infants. The proposed marker-less and does any which makes it ideal algorithm based on...

Introduction Bezoars, masses of indigestible foreign bodies formed in the gastrointestinal tract, pose challenges their management. Phytobezoars are particularly problematic due to difficult diagnosis and resilience towards treatment. Recently, Coca-Cola has emerged as a potential solution its acidic composition mucolytic properties. However, existing evidence is limited, highlighting need for comprehensive studies. This research explores efficacy dissolving persimmon-related phytobezoars,...

Vojta-therapy is a useful technique for the treatment of physical and mental impairments in humans, very effective children less than 6 months. During therapy, specific stimulation given to patient's body perform certain reflexive pattern movements. The repetition this ultimately makes previously blocked connections between spinal cord brain available, after few session, patients can these movements without any external stimulation. must be performed several times day or week last weeks...

Image fusion is a process that integrates similar types of images collected from heterogeneous sources into one image in which the information more definite and certain. Hence, resultant anticipated as explanatory enlightening both for human machine perception. Different combination methods have been presented to consolidate significant data collection image. As result its applications advantages variety fields such remote sensing, surveillance, medical imaging, it comprehend algorithms...

Nitrogen is an essential nutrient element required for optimum crop growth and yield. If a specific amount of nitrogen not applied to crops, their yield affected. Estimation level in crops momentous decide the fertilization crops. The measured through different techniques, including visual inspection leaf color texture by laboratory analysis plant leaves. Laboratory analysis-based techniques are more accurate than inspection, but they costly, time-consuming, require skilled laboratorian...

A vision-based method for detecting the cracks in concrete sleepers of railway tracks will be introduced this paper. The is able to detect and partially classify two successive steps based on image processing pattern recognition techniques. has been implemented acquired data frames followed by analysis, experimental, comparison results evaluation. presented are reasonable which indicates goodness method. preliminary work have [A. Delforouzi, A. H. Tabatabaei, M. Khan Grzegorzek, automatic...