A. Shukla

A. Shukla
ABV-Indian Institute of Information Technology and Management Gwalior | IIITM · M.Tech Program in Information Communication Technology (ICT)

Phd

About

252
Publications
53,814
Reads
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2,530
Citations
Additional affiliations
October 2006 - present
ABV-Indian Institute of Information Technology and Management Gwalior
Position
  • Professor (Full)
Description
  • Working in Robotic and machine learning applications
October 2006 - present
ABV-Indian Institute of Information Technology and Management Gwalior
Position
  • Professor (Full)
Education
June 1999 - June 2002
National Institute of Technology Raipur
Field of study
  • Artificial Intelligence
August 1996 - January 1998
Jadavpur University
Field of study
  • Computer Science
August 1983 - January 1988

Publications

Publications (252)
Article
Target searching with autonomous robots require an efficient target search method that considers their constraints and environmental characteristics. Particle swarm optimization (PSO) is a fantastic population-based optimization algorithm. It is often used in swarm robotics cooperative search jobs because of its inspiration resources and velocity u...
Article
Dynamic target searching is one of the most practical and realistic problems within a multi-agent system. It requires an effective and efficient cooperation strategy to address the challenges of real-world robotic applications. Mostly, centralized cooperation-based strategy proves to be less effective and inefficient in terms of search time, flexib...
Chapter
Skin cancer is one of the most deathful of all the cancers. It is bound to spread to different parts of the body on the off chance that it is not analyzed and treated at the beginning time. It is mostly because of the abnormal growth of skin cells, often develops when the body is exposed to sunlight. Furthermore, the characterization of skin malign...
Article
Objectives The appropriate care for patients admitted in Intensive care units (ICUs) is becoming increasingly prominent, thus recognizing the use of machine learning models. The real-time prediction of mortality of patients admitted in ICU has the potential for providing the physician with the interpretable results. With the growing crisis includin...
Article
This paper provides a Priority-based Optimized-Hybrid Asynchronous Centralized and Decentralized (POHACD) algorithm for multi-robot path planning (MRPP) issue, where multiple robots communicate with each other, as well as through collision check makes their decision. The priority-based approach provides priority to each robot thus bypassing another...
Chapter
Parkinson's disease is a degenerative disorder of the central nervous system which occurs as a result of dopamine loss, a chemical mediator that is responsible for body's ability to control the movements. It's a very common disease among elder population effecting approx 6.3 million people worldwide across all genders, races and cultures. In this c...
Chapter
Providing the appropriate care for patients admitted to intensive care units (ICUs) is becoming increasingly complex and difficult, thus creating a need for the use of deep learning models. Real-time predictions provided by such models can aid physicians in interpreting the vast amount of patient data generated in the ICU. A huge percentage of elec...
Article
Intensive care units (ICUs) are responsible for generating a wealth of useful data in the form of electronic health records. We aimed to build a mortality prediction model on a Medical Information Mart for Intensive Care (MIMIC-III) database and to assess whether the use of deep learning techniques like long short-term memory (LSTM) can effectively...
Preprint
The intensive care units (ICUs) are responsible for generating a wealth of useful data in the form of Electronic Health Record (EHR). This data allows for the development of a prediction tool with perfect knowledge backing. We aimed to build a mortality prediction model on 2012 Physionet Challenge mortality prediction database of 4000 patients admi...
Preprint
Skin Cancer is one of the most deathful of all the cancers. It is bound to spread to different parts of the body on the off chance that it is not analyzed and treated at the beginning time. It is mostly because of the abnormal growth of skin cells, often develops when the body is exposed to sunlight. The Detection Furthermore, the characterization...
Article
Full-text available
This paper proposes a novel user-centric cyber-physical framework to achieve distributed demand response (DDR) in a distribution system where local schedulers (LS) present at individual buses program both local and non-local loads to reduce the maximum load within a sparse communication setting. A COnjoint Methodology for communication and controll...
Article
The quality of air we breathe has a considerable effect on our health and well-being. Environmental studies have confirmed a dramatic increase in the concentration of harmful gases in the air in the last few years. Therefore, determining the conditions that trigger high concentration of these pollutants and their timely forecast is useful for a cle...
Article
Full-text available
Robot path planning is essential to identify the most feasible path between a start point and goal point by avoiding any collision in the given environment. This task is an NP-hard problem and can be modeled as an optimization problem. Many researchers have proposed various deterministic and meta-heuristic algorithm to obtain better results for the...
Article
Full-text available
Texture classification is an active area of research in the field of pattern recognition. Convolutional neural networks (CNNs) have a remarkable capability of recognizing patterns and are one of the most efficient deep learning techniques. But, finding the optimal values of the different hyperparameters of the CNN is a major challenge. Nature-inspi...
Article
Traffic signs are a key constituent of the road network and prove to be very useful for warning and guiding the drivers. In intelligent transport systems, traffic sign recognition (TSR) is indispensable for autonomous driving. However, due to the complex outdoor environment, real-time recognition of traffic signs is much more challenging in compari...
Chapter
Full-text available
Robotics is a field which includes multiple disciplines such as environment mapping, localization, path planning, path execution, area exploration etc. Path planning is the elementary requirement for all the above mentioned diversified fields. This paper presents a new method for motion planning of mobile robots which carry forward the best feature...
Chapter
The limitations of single algorithm approaches lead to an attempt to hybridize or fuse multiple algorithms in the hope of removing the underlying limitations. In this chapter, the authors study the evolutionary algorithms for problem solving and try to use them in a unique manner so as to get a better performance. In the first approach, they use an...
Preprint
Machine translation (MT) is an area of study in Natural Language processing which deals with the automatic translation of human language, from one language to another by the computer. Having a rich research history spanning nearly three decades, Machine translation is one of the most sought after area of research in the linguistics and computationa...
Article
Deep convolution neural networks (CNNs) have demonstrated their capabilities in modern-day medical image classification and analysis. The vital edge of deep CNN over other techniques is their ability to train without expert knowledge. Time bound detection is very beneficial for the early cure of disease. In this paper, a deep CNN architecture is pr...
Conference Paper
The rapid growth of applications of latest information technology into the field of medical sciences have founded the idea to develop such a platform through which pre-diagnosis of diseases could be easy, efficient and less time consuming. This paper talks about two frameworks designed using machine learning algorithms such as ANN, SVM and Decision...
Article
Full-text available
Navigation or path planning is the basic need for movement of robots. Navigation consists of two foremost concerns, target tracking and hindrance avoidance. Hindrance avoidance is the way to accomplish the task without clashing with intermediate hindrances. In this paper, an evolutionary scheme to solve the multi-agent, multi-target navigation prob...
Article
Genetic algorithms are one of the most popular optimization algorithms. Schema theory provides a mathematical foundation for the working of genetic algorithm. Different variants of the basic genetic algorithm have been proposed; and genetic algorithm having distributed population set (Island model of genetic algorithm) is one of them. In this paper...
Article
Bacteria Foraging Optimisation Algorithm is a collective behaviour-based meta-heuristics searching depending on the social influence of the bacteria co-agents in the search space of the problem. The algorithm faces tremendous hindrance in terms of its application for discrete problems and graph-based problems due to biased mathematical modelling an...
Article
Full-text available
In recent years, deep learning has been extensively used in both supervised and unsupervised learning problems. Among the deep learning models, CNN has outperformed all others for object recognition task. Although CNN achieves exceptional accuracy, still a huge number of iterations and chances of getting stuck in local optima makes it computational...
Article
Full-text available
We propose an efficient solution for finding a collision-free path in a Three-Dimensional environment with dynamic obstacles for Unmanned Aerial Vehicles (UAVs). Path Planning for Unmanned Aerial Vehicles (UAVs) in Three Dimensional Dynamic Environment is considered a challenging task in the field of robotics. During their mission, UAVs have to man...
Conference Paper
We are in an era where scaling up the processing speed of computers by increasing the clock speed of processors had become an ineffective strategy for handling Big Data. Now, computers have increased number of processors embedded within, which has motivated various programmer to take advantage of these architectures. To increase the processing spee...
Conference Paper
In this paper, we have discussed anomaly detection in speech files for Hindi language and we have demonstrated that noise can be detected efficiently whether it is an impulse noise like a car horn or continuous background noise like engine noise. Anomaly is a point that deviates from normal data is considered to be an outlier. Speech signals have d...
Conference Paper
Hospital readmissions are recognized as indicators of poor quality of care, such as inadequate discharge planning and care coordination. Moreover, most experts believe that many readmissions are unnecessary and avoidable. In the present paper, we design a Recurrent Neural Network model to predict whether a patient would be readmitted in the hospita...
Article
Robot path planning is a task to determine the most viable path between a source and destination while preventing collisions in the underlying environment. This task has always been characterized as a high dimensional optimization problem and is considered NP-Hard. There have been several algorithms proposed which give solutions to path planning pr...
Article
Full-text available
Parkinson’s disease is a widespread disease among elder population worldwide caused by dopamine loss, which reduces quality of life because of motor and non-motor complications. In the current paper, nine soft computing models, i.e., Cubist, Cubist Committees, Random Forests, Kernel Support Vector Machine, Linear Regression, Naïve Bayes, Artificial...
Conference Paper
Full-text available
A credit approval system involves the process of making a decision that, whether to approve or reject the application for issuing of credit cards based on some attributes of the applicant as mentioned in the application form. Artificial Neural Networks are one of the most powerful tools for classification. In this paper, an artificial neural networ...
Conference Paper
Full-text available
Speaker recognition is a classification problem. The main aim is to check a particular sound utterance belongs to a client or not. In text-independent speaker recognition system, extraction of speaker-dependent features is done from speech signals' short term spectra to build the speaker-dependent Gaussian mixture models (GMMs). A client's voice ha...
Conference Paper
Recently health care researchers are working a lot on outcome prediction on Intensive Care Unit (ICU) and trauma. Outcome prediction in intensive care is a difficult process. Accurate synthesis of quality data and application of prior experience to the analysis is required to solve it. In this paper we will review some of the recent advancements in...
Article
Full-text available
Recent results have demonstrated an exceptionally high dielectric constant in the range 200 K-330 K in a crystalline tianium oxide : Rb2Ti2O5. In this article, the possibility of a structural transition giving rise to ferroelectricity is carefully inspected. In particular X-Ray diffraction, high resolution transmission electron microscopy and Raman...
Article
In this paper a stable formation control law that simultaneously ensures collision avoidance has been proposed. It is assumed that the communication graph is undirected and connected. The proposed formation control law is a combination of the consensus term and the collision avoidance term U+0028 CAT U+0029. The first order consensus term is derive...
Conference Paper
Parkinson disease(PD) is a neurological disorder which affect the nervous system of the body causing problem related to gait and speech disorder. Speech and gait serve as major parameter in diagnosis of the disease in the early stages of its symptoms. This study uses these parameters to perform a comparative study of two nature inspired algorithm f...
Article
Exploration is a process where the objective is to cover an area that is used for subsequent navigation. It is an important criteria for problem-solving in many unknown search space and is an important aspect of automation and information gathering. Here we have proposed multi-robot area exploration method for unknown search areas. In the proposed...
Article
The concept of schema plays a vital role in the study of genetic algorithms. The effect of selection, simple crossover and mutation on schemata has already been studied rigorously by several researchers. In this paper a novel ternary crossover operator is introduced and its effects on the probability of survival of a schema are meticulously analyze...
Article
Background and objectives: Parkinson's disease is a chronic neurological disorder that directly affects human gait. It leads to slowness of movement, causes muscle rigidity and tremors. Analyzing human gait serves to be useful in studies aiming at early recognition of the disease. In this paper we perform a comparative analysis of various nature i...
Article
The life on our planet has incredibly evolved over a relatively short period of time to its current complex form. This has been possible only because of the beauty of natural evolution. The idea behind genetic algorithms is to use this power of natural evolution to solve complex real life optimization problems. Over the past three decades, genetic...
Conference Paper
Full-text available
Genetic algorithms are widely used in the field of optimization. The concept of schema theory plays a crucial role in the field of genetic algorithm and provides an insight regarding the percolation of schema from one generation to the next. In this paper an endeavor has been made to explain the concept of schema from mathematical perspective with...
Chapter
Full-text available
Path planning problem revolves around finding a path from start node to goal node without any collisions. This paper presents an improved version of Focused Wave Front Algorithm for mobile robot path planning in static 2D environment. Existing wave expansion algorithms either provide speed or optimality. We try to counter this problem by preventing...
Article
Path planning is a problem where the objective to reach up to target from source without collide with obstacle This problem would be complex when it is considered with multi robot and unknown environment. Reaching up to the target is considered as an optimization problem where the objective to minimize the distance, time and energy. This paper use...
Article
Robotics is a field which includes multiple disciplines such as environment mapping, localization, path planning, path execution, area exploration etc. Path planning is the elementary requirement for all the above mentioned diversified fields. This paper presents a new method for motion planning of mobile robots which carry forward the best feature...
Conference Paper
This paper discusses a new method for multi robot path planning using bacteria foraging algorithm for known and unknown target. Here direction based movement is used to classify unknown and unknown target. The directional is representing by divide the area virtually by clustering based method. In which each cluster point represents the direction. W...
Conference Paper
Essential communication in this fast moving world is always been a major concern. Although we have messengers like gtalk, Facebook, WhatsApp who are a good source of circulating messages but they kind of deviates us from the imperative purpose of communication. There has been no services available which allows us to store important messages and app...
Article
Full-text available
We know the various sorting algorithms available today. Sorting has become one of the most essential parts of the artificial intelligence algorithms these days. We have so many algorithms like Quick Sort, Hash Sort, Bucket Sort, Radix Sort, Insertion Sort, etc. All these are applied to various problems in their own way. In this paper we present a n...
Article
Robot area exploration is a very important task in robotics because it has many applications in real-life problem. So, this is always a very interesting field for researches. This paper presents a new method for multi-robot area exploration. Here, first the environment is divided into partition. In each partition, the robot is deployed randomly. Ea...
Article
Target tracking and searching are the very important problems in robotics. It can be used in many variations like path planning where the objective is to reach up to target without collide with obstacle, or it may be used in the places where some source is needed to find. Here nature inspired PSO algorithm is used to solve this problem with the hel...
Chapter
Ventricular Assist Device (VAD) is considered to be the part and parcel to those people who have cardiac complications or heart failure especially the aged patients. Although VADs have contributed remarkably for the past few years, yet these devices possess some limitations, mainly the driveline infections. Due to these conditions, researchers are...
Chapter
Parkinson's disease is a degenerative disorder of the central nervous system which occurs as a result of dopamine loss, a chemical mediator that is responsible for body's ability to control the movements. It's a very common disease among elder population effecting approx 6.3 million people worldwide across all genders, races and cultures. In this c...
Article
In this work we have concentrated on the development of a multi-agent based surveillance system which can adapts itself based on the position of the moving intruder. We have mainly investigated this conception based on a modified Bacteria foraging algorithm which helps in the movement of the agents based on the positional information of the other c...
Article
This paper explains the methodology applied to make a mobile robot explore an unknown environment accurately, with minimum energy dissipations and more speedily. Essentially it focuses on optimization capability of Genetic Algorithms and their convergence property, and how it can be applied in the domain of path planning. Optimization of path plann...
Article
Various challenges are faced while covering a given area by a team of robots. One of the challenges is to efficiently cover the given area while reducing the repeated coverage. A partitioning method can be used so that each robot will explore its allocated sub area individually, thus avoiding collision and repeated coverage. Partitioning the enviro...
Article
Soft biometrics-based gender classification is an interesting and a challenging area of neural networking and has potential application in visual surveillance as well as human–computer interaction. In this paper, we have investigated gender recognition from human gait in image sequence. For the above purpose, we have extracted silhouette of 15 male...
Article
Full-text available
Physicochemical properties of proteins always guide to determine the quality of the protein structure, therefore it has been rigorously used to distinguish native or native-like structure from other predicted structures. In this work, we explore nine machine learning methods with six physicochemical properties to predict the Root Mean Square Deviat...
Conference Paper
A major problem in medical science is attaining the correct diagnosis of disease in precedence of its treatment. For the ultimate diagnosis, many tests are generally involved. Too many tests could complicate the main diagnosis process so that even the medical experts might have difficulty in obtaining the end results from those tests. A well-design...
Conference Paper
Due to information revolution, huge amount of data is available over internet but retrieving correct and relevant data is not an easy task. The information retrieval from search engines is still far greater than that a user can handle and manage. Thus there is need of presenting the information in an abstract way so that one can easily infer the me...
Conference Paper
Full-text available
Differential evolution (DE) is a vector population-based stochastic search optimization algorithm. DE converges faster, finds the global optimum independent to initial parameters, and uses few control parameters. The exploration and exploitation are the two important diversity characteristics of population-based stochastic search optimization algor...
Article
Krill Herd Algorithm (KHA) is creature inspired meta-heuristic search algorithm, inspired by the tiny sea creature krill and its style of living, which can be utilized in optimization solution foundation of NP-Hard problems. In this paper we have adopted the various activities of the creature and described a discrete version of the Krill Herd Algor...
Chapter
In this paper we have continued the introduction and application of a new nature inspired meta-heuristics algorithm called Egyptian Vulture Optimization Algorithm (EVOA) which primarily favors combinatorial optimization problems and graph based problems. The algorithm is derived from the nature, behavior and key skills of the Egyptian Vultures for...
Article
This paper presents attendance management system based on the smart cards. This introduces the entities of the system and describes the set up of attendance management system and the role of these entities in the management system for managing attendance. This also represents the graphical representation of the working of entities of the system. Th...
Article
Cuckoo Search (CS) Algorithm is a well-known and successful nature inspired meta-heuristics which mimicries the salient life-style feature of cuckoo bird and has been widely applied in various continuous domain problems, search analysis and optimization. The algorithm mostly depends on the random placement of the constrained value(s) of variable at...
Article
Full-text available
The time varying observation recorded in chronological order is called time series. The extreme values are from the same time series model or appear because of some unobservable causes having serious implications in the esti-mation and inference. This change deviate the error more and the recorded observation is called outlier. The present paper de...
Chapter
Bacteria Foraging Optimization (BFO) is a swarm intelligence optimization technique which has proven to be very effective in continuous search domain having several dimensions. In this paper a discrete and adaptive version of the Bacteria Foraging Optimization Algorithm is being introduced which will be useful in discrete search domain and all kind...