Lung cancer is the most dangerous and death-causing disease indicated by presence of pulmonary nodules in lung. It mostly caused instinctive growth cells nodule detection has a significant role detecting screening lung Computed tomography (CT) scan images. Early plays an important survival rate treatment patients. Moreover, classification techniques based on convolutional neural network can be used for accurate efficient cancer. This work proposed automatic method CT images modified AlexNet...

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder leading to an inability socially communicate and in extreme cases individuals are completely dependent on caregivers. ASD detection at early ages crucial as can reduce the effect social impairment. Deep learning models have shown capability detect earlier compared traditional methods used by clinics experts. Ensemble models, renowned for their ability enhance predictive performance combining multiple emerged powerful tool...

Brucellosis is reportedly endemic in ruminants Pakistan. Both Brucella abortus and B. melitensis infections have been decumented domestic animals humans the country. This study aimed to identify burden of anti-Brucella antibodies small as well associated potential risk factors with its occurrence at nine institutional livestock farms Punjab, The sera collected from equal number sheep goats (500 each species) were screened by indirect-ELISA for anti-smooth-Brucella followed a serial detection...

Coastline extraction by exploiting optical images is challenging during adverse weather conditions. This letter proposes coastline from synthetic aperture radar (SAR) data. Since collecting <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-situ</i> data expensive and not always possible, the Doppler parameter used to delineate coastlines when neither nor cloud-free are available. We propose a novel method based on classic coastal dynamic...

The application of deep learning methods in various fields is rapidly increasing. development complex-valued (CV) networks that can process CV data has provided many opportunities for utilizing the immense capabilities data, including Synthetic Aperture Radar (SAR). However, physical model and basic properties original SAR must be preserved architecture. Without these properties, parameters cannot accurately retrieved from data. This study evaluates competency architectures to preserve how...

Synthetic aperture radar (SAR) is the most efficient tool to provide high-resolution data for Earth Observation (EO). Doppler centroid (DC) estimation indispensable high precision SAR analysis such as extracting ocean surface current, which important scientific pursuits. Correlation doppler (CDE), and energy balancing (EB) based DC methods are implemented in this paper. A 2-D sliding window deployed estimate on small blocks of while covering whole scene so that all parts potentially...

In this paper we have presented a new Discrete Particle Swarm Optimization approach to induce rules from the discrete data. The proposed algorithm initializes its population by taking into account nature of It assigns different fixed probabilities current, local best and global positions. Based on these probabilities, each member updates position iteratively. performance is evaluated five datasets compared against 9 classification techniques. produces promising results creating highly...

The spectral characteristics of single-look complex - inter-ferometric wide (SLC-IW) swath, terrain observation by progressive scan (TOPS), are significantly different from those strip-map (SM). Due to the burst mode and series sub-swaths, target area is scanned for a short period time. Therefore, swath width comes at expense azimuth resolution. To eliminate quadratic phase drift achieve SLC baseband, significant processing required. De-ramping necessary step compute ocean circulation...

A spaceborne synthetic aperture radar (SAR) systematically scans the target scene along its trajectory at various positions and azimuth angles, making it a unique asset for many remote sensing applications. The contrast between ship targets surrounding sea can be improved in SAR images by splitting bandwidth into subapertures (SAs) then averaging to attain high resolution. This letter proposes use of decomposition (SD) detecting moving ships. Furthermore, velocity parameter direction is...

During the past decade, schoolchildren faced many disasters and emergencies originating from natural man-made sources. The safety of rests with school management teachers. This study aimed to assess teachers' awareness regard disaster prevention health, safety, security, environment (HSSE) policies at primary schools in Pakistan. In addition, it explores suitability teachers perform as emergency handlers absence nurses resource officers (SROs). involved a qualitative study, based on...

The Inverse Synthetic Aperture Radar (ISAR) provides images of objects that are rotating with respect to the radar. An efficient image focusing algorithm is required generate ISAR imagery from echoes raw data. On other hand, dual-polarization decomposition technique enables precise retrieval scattering mechanisms (H-α), allowing for various applications. In this paper, we propose a novel study case 2D imaging partial polarimetric data natural targets. First, stack complex-valued VV and VH...

The accurate extraction of ice cover is important on a global scale. Owing to the weather-independent imagery capabilities, Sentinel-1 (S1) reliable source for monitoring using SAR images. Therefore, this study focused an unsupervised method extracting by exploiting dual-pol S1 data over Devon Island, which surrounded ocean. We adopted constant false alarm rate (CFAR) detector detection examining empirical distribution given matrix region followed statistical Burr derive CFAR threshold...

Abstract The popularity of drones or unmanned aerial vehicles (UAVs) will be increased enormously in future smart cities due to their usage several domains. Significantly it’s an emerging research localize and timely detect such kinds objects avoid threats. This paper considered deploy array 4-microphones for acoustics localization enhancement UAV detection optimization. For high accuracy 3-D, the cumulative algorithm GCC-PHAT least square (LS) based on TDOA is implemented estimate acoustic...

Avian influenza (AI) occurs worldwide and causes tremendous economic losses. The disease is characterised by respiratory signs, depression, reduced food water intake. In the present study, an oil-based vaccine created using Montanide ISA 70 MVG, was prepared duration of immunity checked at different time intervals. For this purpose, cumulative mean titre (CMT) calculated after employing haemagglutination inhibition test in 50 pullets day zero before vaccination then inoculated 0.3 mL...

In Pakistan the poultry sector is an important and vibrant segment of agriculture in with a significant contribution to national GDP (1.3%).Mycoplasma gallisepticum (MG) causes avian mycoplasmosis only controlled through mass vaccination.Antibody response birds inactivated MG vaccine poor.On 7th day age (broilers: n=40) each bird group A, B, C D (n=8) was vaccinated (subcutaneous: 0.3ml) G-MG, O-MG, G-MG+NDV (New castle Disease Virus) O-MG vaccines, respectively.Serum samples were collected...

Cancer is a type of disease that not realized by most people because associated with this lack understanding cancer itself and are doing early detection cancer, due to the majority cancers found at an advanced stage difficult overcome facilitate large expenditure help cancer. Early liver or very important high risk death caused This study aims classify based on data from routine examination results patients summarized in Indian Liver Data Patient (ILDP) dataset. The method used...

Inverse synthetic aperture radar (ISAR) provides images of objects that are rotated with respect to the radar. An efficient image-focusing algorithm is required generate ISAR from echoes raw data. In this study, a monostatic model was deployed collect backscattering data in millimeter (mm) wave band (67–110 GHz) using targets circular, rectangular, and non-canonical shapes. The experiments were performed assess imaging performance three methods. image reconstruction implemented wave-number...