Tasleem Kausar

Mirpur University of Science and Technology · Department of Electrical Engineering

Revealing system behavior from observed time series is a fundamental problem worthy of in-depth study and exploration, and has attracted extensive attention in a wide range of fields due to its wide application values. In this paper, we propose a novel network construction method for time series analysis, which is different from the existing ordina...

The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, it is essential to screen the infected patients at the primary stage to prevent secondary infections from person to person. The reverse transcription polymerase chain reaction (RT-PCR) test is commonly performed for Covid-19 diagnosis, while it requires...

In the past few decades, breast cancer has rapidly increased the death rate among women worldwide. An early diagnosis of such fatal disease is important for the best treatment and death rate reduction. Automatic diagnosis of breast cancer from histopathological images using artificial intelligence (AI) based methods is a top-priority research area...

Broadband amplification in the O+E-band is very desirable nowadays as a way of coping with increasing bandwidth demands. The main issue with doped fiber amplifiers working in this band such as the bismuth-doped fiber amplifier is that they are costly and not widely available. Therefore, a wideband and flat-gain hybrid optical amplifier (HOA) coveri...

In this paper, we address the performance optimization of Holmium doped fiber amplifier (HDFA) for optical communications in 2–2.15 μm wavelength range based on a single in-band forward pump source. The performance of the HDFA is analyzed with the help of theoretical simulations by considering an optimized length of Holmium doped fiber (HDF), dopin...

Histopathological image analysis is an examination of tissue under a light microscope for cancerous disease diagnosis. Computer-assisted diagnosis (CAD) systems work well by diagnosing cancer from histopathology images. However, stain variability in histopathology images is inevitable due to the use of different staining processes, operator ability...

People with vision impairment use Braille language for reading, writing, and communication. The basic structure of the Braille language consists of six dots arranged in three rows and two column cells, which are identified by visually impaired people using finger touch. However, it is difficult to memorize the pattern of dots that form the Braille...

Mitotic figure count acts as a proliferative marker to measure aggressiveness of the breast cancer tumor. In this paper, we have proposed a novel framework named SmallMitosis to detect mitotic cells particularly very small size mitosis from hematoxylin and eosin (H&E) stained breast histology images. SmallMitosis framework consists of an atrous ful...

Measures of predictability in physiological signals based on entropy metrics have been widely used in the application domain of medical assessment and clinical diagnosis. In this paper, we propose a new entropy-based pattern learning by a combination of singular spectrum analysis (SSA) and entropy measures for assessment of physiological signals. P...

Among the predominant cancers, breast cancer is one of the main causes of cancer deaths impacting women worldwide. However, breast cancer classification is challenging due to numerous morphological and textural variations that appeared in intra-class images. Also, the direct processing of high resolution histological images is uneconomical in terms...

Accurate assessment of the breast cancer deterioration degree plays a crucial role in making medical plan, and the important basis for degree assessment is the number of mitoses in a given area of the pathological image. We utilized deep multi-scale fused fully convolutional neural network (MFF-CNN) combing with conditional random felid (CRF) to de...

We utilized deep fused fully convolutional neural network (FF-CNN) based on the knowledge transferred from pre-trained AlexNet model to detect mitoses in hematoxylin and eosin stained histology image of breast cancer. Currently, existing mitosis counting methods are based on either the handcrafted features including morphology, color and texture or...

This paper describes performance analysis of adhoc routing protocols i.e. AODV, AOMDV and DSDV for VANETs both in realistic and unrealistic mobility models under IEEE802.11p (DSRC). For realistic environment, city and highway mobility models have been developed using MOVE realistic road traffic simulator. Simulation results based protocol analysis...