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Introduction
Publications
Publications (41)
![A sample breast cancer histopathological image [79] with four...](publication/364312342/figure/fig2/AS:11431281089350646@1665534049640/A-sample-breast-cancer-histopathological-image-79-with-four-magnification-levels-of-a_Q320.jpg)
Breast cancer is one of the most common invading cancers in women. Analyzing breast cancer is nontrivial and may lead to disagreements among experts. Although deep learning methods achieved an excellent performance in classification tasks including breast cancer histopathological images, the existing state-of-the-art methods are computationally exp...
Phenylalanine, tyrosine, and tryptophan are aromatic amino acids, and they are of high interest in both health science and biotechnology. These amino acids form organized structures, like fibrils and nanotubes. Although these amino acids belong to the same family, they still differ from each other with respect to polarity, hydrophobicity as well as...
Molecular self-assembly is a ubiquitous phenomenon in which individual atoms or molecules set up an ordered structure. It is of high interest for understanding the biology and a variety of diseases at the molecular level. In this work, we studied the self-assembly of tyrosine molecules via extensive molecular dynamics simulations. The formation of...
Sentiment analysis using stemmed Twitter data from various languages is an emerging research topic. In this paper, we address three data augmentation techniques namely Shift, Shuffle, and Hybrid to increase the size of the training data; and then we use three key types of deep learning (DL) models namely recurrent neural network (RNN), convolution...
In this paper, the effect of the simultaneous rotation of two different groups, hydroxyl (OH) and hydroxymethyl (CH2OH) groups, on the basic properties of Glycerol are comprehensively studied. Relative energies are reported at the HF/ aug-cc-pVDZ, b3lyp/ aug-cc-pVDZ levels with corrections for zero-point vibrational energies. Structural parameters,...
Sentiment analysis is a process of computationally detecting and classifying opinions written in a piece of writer’s text. It determines the writer’s impression as achromatic or negative or positive. Sentiment analysis became unsophisticated due to the invention of Internet-based societal media. At present, usually people express their opinions by...
Facial expression recognition has become an increasingly important area of research in recent years. Neural network- based methods have made amazing progress in performing recognition-based tasks, winning competitions set up by various data science communities, and achieving high performance on many datasets. Miscellaneous regularization methods ha...
Tyrosine is one of the important aromatic amino acids, the wrong metabolization of which usually results in severe mental diseases. Based on the simulation results it was observed that tyrosine molecules form fibril-like structures at high temperatures. In order to have a better understanding of tyrosine self-assembly, we developed a quantitative m...
In this paper, we present a mechanism to predict the sentiment on Turkish tweets by adopting two methods based on polarity lexicon (PL) and artificial intelligence (AI). The method of PL introduces a dictionary of words and matches the words to those in the harvested tweets. The tweets are then classified to be either positive, negative, or neutral...
The self assembly processes of aromatic amino acids, phenylalanine, tyrosine, and tryptophan have been simulated and were observed to form fibil-like aggregates linked to certain rare disease pathways and instances of biological membrane disruption. Pure systems and their mixtures were studied systematically at constant temperatures and free energy...
In relation to young people green skills cover a broad range of topics and initiatives that are concrete and practically-oriented. When talking with young people about green skills teachers and trainers have to start from inflicting some habits of green lifestyle and then proceed to issues like green economy, green jobs and green entrepreneurship....
It is a challenging task to classify and detect various geographical features from the satellite imagery of the Earth as well as the celestial bodies. This paper puts forward several pixel based classification algorithms to classify geographical features from the satellite images of the Earth. The recorded experimental results, from a total of 606...
Who does not want a home having comfortability, security, safety, and reliability? A system of interconnected devices and sensors with internet of things standards can communicate independently with less or no human interaction. With such a system, everyday tasks (e.g., control of light, heat, humidity, air flow, and etc.) in and around our living...
It is a key important issue to prevent life and property from the accidents caused by vehicles of drivers. Alcohol can, speed, drowsy driving, and sudden heart attack are the major causes for road accidents, which can lead to severe physical injuries, deaths and significant economic losses. Various methods have been proposed to detect automatically...
An elevator is a part and parcel of modern life in developed countries. The safety and reliability of an elevator system is of great importance as it carries people and other goods. During pick hours of the day, waiting long time in front of an elevator causes mental weariness. In this paper, we have hinted an automatic system that will estimate an...
Nowadays, laser scanners are operated for data collection instead of video cameras. Laser scanners do not record real world videos except scanned points. Thus it takes away problems of private life conservation. Plus data processing gets very fast and easy. But from laser scanned data points, recognition of objects is a challenging task. This paper...
A polyelectrolyte (PEL) chain having a smeared charge distribution is simulated by using Metropolis Monte Carlo simulation technique. The PEL chain is charged in such a way that the total charge is smeared along the chain. The system is studied in various solvent conditions; good solvents, [Inline formula], where a neutral chain behaves as if it di...
![Figure 1. Stabilty Test Results [5]](profile/Manikanthan-Bhavaraju/publication/268515252/figure/fig1/AS:392310899658753@1470545616061/Stabilty-Test-Results-5_Q320.jpg)
In a recent paper “Self-Assembly of Phenylalanine-Based Molecules”, we have studied the formation and stability of phenylalanine and diphenylalanine constructs. In the case of diphenylalanine we observe nanotubes, however, phenylalanine molecules aggregate in layers of four, not six, molecules. In the preset paper, we extend this previous work and...
Using molecular dynamics we study the self-assembly of phenylalanine with charged end-groups at various temperatures and concentrations. As in the case of diphenylalanine we observe the formation of nanotubes, however, phenylalanine aggregate in layers of four, not six, molecules. The observed aggregates are consistent with recent experimental meas...
Using grand canonical Monte Carlo simulations of a flexible polyelectrolyte where the charges are in contact with a reservoir of constant chemical potential given by the solution pH, we study the behavior of weak polyelectrolytes in poor and good solvent conditions for polymer backbone. We address the titration behavior and conformational propertie...
One of the smallest proteins with end-to-end β-sheet is the designed 36-residue protein DS119. We recently suggested that the rate-limiting step in the folding of the βαβ protein is the formation of the central helix that then provides a scaffold for the parallel β-sheet formed by the two chain ends. In the present report we investigate whether and...
Using Monte Carlo simulations, the cascade transition of a single polyelectrolyte chain having permuted charge distribution is investigated. The polyelectrolyte chain is simulated at various solvent regimes. The effect of the electrostatic interaction strength is studied. The structures are analyzed with respect to the scaling laws. The effect of p...
In this paper, we have addressed mainly a detection based method for video events detection. Harris points of interest are tracked by optical flow techniques. Tracked interest points are grouped into several clusters by dint of a clustering algorithm. Geometric means of locations and circular means of directions aswell as displacements of the featu...
The paper presents a simple but effective method to detect abnormal crowd behaviors from real crowd videos. The method does
not depend on person detection or segmentation, instead it takes the advantages of the use of cluster analysis such as robustness
against variable numbers of people in the scenes. It lies in the use of the Bhattacharyya distan...
Using grand canonical Monte Carlo simulations of a polyelectrolyte chain where the charges are in contact with a reservoir of constant chemical potential given by the solution pH, we study the behavior of weak polyelectrolytes in a poor solvent. We address the influence of variable screening of the electrostatic interaction on the chain structure f...
We present Monte Carlo simulations on annealed polyelectrolytes in
poor solvent. Increasing the chemical potential of the charges,
which is equal to the pH of the solution except for a trivial
additive constant, we find the first-order phase transition
between a weakly charged globule and a highly charged extended
chain predicted by theory. Startin...
Polymere sind lange kettenartige Moleküle. Sie bestehen aus vielen elementaren chemischen Einheiten, den Monomeren, die durch kovalente Bindungen aneinander gekettet sind. Polyelektrolyte sind Polymere, die ionisierbare Monomeren enthalten. Aufgrund ihrer speziellen Eigenschaften sind Polyelektrolyte sowohl in der Molekular- und Zellbiologie von gr...
Using (semi-)grand canonical Monte Carlo simulations of a polyelectrolyte chain of length N where the charges are in contact with a reservoir of constant chemical potential μ given by the solution pH, we study the behavior of annealed polyelectrolytes in a poor solvent. We focus on the conformational properties in the close-to-ϑ-point regime τ < τ*...
Potsdam, University, Diss., 2004. Computerdatei im Fernzugriff.
Projects
Projects (2)
"Green Energy Skills for Youth (GREEN4U)“ will provide an interactive reseource for youth ages 13 to 25 years old who have a passion for science, natural resources and renewable energy, like to brainstorm ideas, research and conduct experiments and have fun. In this content, there will be educational serious game scenarios where youth research and explore answers to their questions while learning valuable critical thinking, problem-solving and decision-making skills. Games topics will be:
- Climate change
- Ecosystem
- Energy and conversation
- Pollution
- Waste management and recycling
- Corbondioxide footprint
