Mohd Anul Haq

Mohd Anul Haq
Majmaah University · Department of Computer Science College at Computer Sciences and Information Technology

PhD

About

104
Publications
17,414
Reads
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941
Citations
Citations since 2017
76 Research Items
911 Citations
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Introduction
Developing and implementing DL/ML models to solve various real world problems including Cyber security, computer vision, IoT, agriculture, water, energy and many more...

Publications

Publications (104)
Article
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The understanding of water resource changes and a proper projection of their future availability are necessary elements of sustainable water planning. Monitoring GWS change and future water resource availability are crucial, especially under changing climatic conditions. Traditional methods for in situ groundwater well measurement are a significant...
Article
Applications of unmanned aerial vehicles (UAVs) based remote sensing is increasing rapidly due to their advanced accessibility, capability for fast and easy deployment, capability for miniaturization of sensors and efficient collection of remotely-sensed data from relatively low altitudes. Recently, UAV data sets have been found to be quite useful...
Article
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Water received in rainfall is a crucial natural resource for agriculture , the hydrological cycle, and municipal purposes. The changing rainfall pattern is an essential aspect of assessing the impact of climate change on water resources planning and management. Climate change affected the entire world, specifically India's fragile Himalayan mountai...
Article
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Rapid industrialization and urbanization are rapidly deteriorating ambient air quality, especially in the developing nations. Air pollutants impose a high risk on human health and degrade the environment as well. Earlier studies have used machine learning (ML) and statistical modeling to classify and forecast air pollution. However, these methods s...
Article
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The evolution and expansion of IoT devices reduced human efforts, increased resource utilization, and saved time; however, IoT devices create significant challenges such as lack of security and privacy, making them more vulnerable to IoT-based botnet attacks. There is a need to develop efficient and faster models which can work in real-time with ef...
Article
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Building an automatic fish recognition and detection system for large-scale fish classes is helpful for marine researchers and marine scientists because there are large numbers of fish species. However, it is quite difficult to build such systems owing to the lack of data imbalance problems and large number of classes. To solve these issues, we pro...
Article
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The residential sector of Pakistan is a prime consumer of energy. With the fossil fuel-dependent energy generation setup and an increasing energy supply-demand gap, Pakistan is headed towards an energy fiasco. Therefore, drastic measures are required to enhance the energy efficiency of residential buildings in Pakistan. The current study is aimed t...
Article
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Agriculture is critical for a country’s population growth and economic expansion. In Saudi Arabia (SA), agriculture relies on groundwater, seasonal water, desalinated water, and recycled water due to a lack of surface water resources, a dry environment, and scanty rainfall. Estimating water consumption to plan crop water requirements (CWR) in chang...
Article
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Every developing country relies on transportation, and there has been an exponential expansion in the development of various sorts of vehicles with various configurations, which is a major component strengthening the automobile sector. India is a developing country with increasing road traffic, which has resulted in challenges such as increased roa...
Article
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Day by day, biometric-based systems play a vital role in our daily lives. This paper proposed an intelligent assistant intended to identify emotions via voice message. A biometric system has been developed to detect human emotions based on voice recognition and control a few electronic peripherals for alert actions. This proposed smart assistant ai...
Article
There is a need to prevent the generation of criminal activities in the voice signals due to changing voices by intruders to cover up their personal identities. The voice signal change detection based on convolutional neural network is proposed in this work that uses three commonly used voice processing software to change the tone of the voice libr...
Article
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An accurate identification of objects from the acquisition system depends on the clear segmentation and classification of remote sensing images. With the limited financial resources and the high intra-class variations, the earlier proposed algorithms failed to handle the sub-optimal dataset. The building of an efficient training set iteratively in...
Article
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Mobile Ad hoc Networks (MANETs) are intended to work without a fixed framework and provide dependable interchanges to ground vehicles, boats, airplanes, or people and structure a self-mending process that will empower persistent correspondences in any event, when at least one of its nodes are debilitated or briefly expelled from the system. Notwith...
Article
People nowadays are ignoring the usage of electricity and its cost by preferring different kinds of appliances. Rising energy costs and demand have led to many too smart ways of tracking, managing, and monitoring an organization’s energy saving. To keep the consumer aware and to limit excess power usage, this paper proposes a smart power consumptio...
Article
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The main goal of this research paper is to apply a deep neural network model for time series forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are important issues for the reliable and efficient hydrological models and prediction of the spread of forest. Long Short Term Memory (LSTM) model for the time series forec...
Poster
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Dear Colleagues, With the fast development of remote sensing technology, simultaneous consideration of time and space characteristics has become one of the most effective ways to acquire information of the Earth's surface. Mining valuable knowledge from spatiotemporal data is a fundamental problem in many remote sensing applications. Traditional da...
Article
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Burns are common practices in Brazil and cause major fires, especially in the Legal Amazon. This study evaluated the dynamics of the fire foci in the Legal Amazon in Brazil and their consequences on environmental degradation, particularly in the transformation of the forest into pasture, in livestock and agriculture areas, mining activities and urb...
Article
Current work focuses on establishing communication connectivity that is specially designed for wireless mobile sensor networks, especially the high connectivity stability of the disaster area network. Existing system focuses on location initial communications and utilizes networks based on most Internet Protocol (IP) frameworks. To solve these prob...
Article
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The Internet of Things (IoT) and the Android operating system have made cutting-edge technology accessible to the general public. These are affordable, easy-to-use, and open-source technology. Android devices connect to different IoT devices such as IoT-enabled cameras, Alexa powered by Amazon, and various other sensors. Due to the escalated growth...
Article
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In recent years, human action recognition is modeled as a spatial-temporal video volume. Such aspects have recently expanded greatly due to their explosively evolving real-world uses, such as visual surveillance, autonomous driving, and entertainment. Specifically, the spatio-temporal interest points (STIPs) approach has been widely and efficiently...
Article
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Aerial image-based target object detection has several glitches such as low accuracy in multi-scale target detection locations, slow detection, missed targets, and misprediction of targets. To solve this problem, this paper proposes an improved You Only Look Once (YOLO) algorithm from the viewpoint of model efficiency using target box dimension clu...
Article
Sentiments and emotions of a person on social media is classified by the effective data science approaches. Data science is an inter-disciplinary domain that utilizes the scientific techniques, processes and algorithms to retrieve the sentiments from the twitter tweets. The classification of sentiments plays significant role in many application dom...
Article
This study focuses on the numerical illustration of bubble growth and addresses the inherent interface deformation problem associated with phase change in the Volume of Fluid (VOF) interface tracking method. To avoid the interface deformation, this study proposes a cell alternation algorithm that could simulate bubble growth with a sharp interface....
Article
Smoking is the major cause for lung carcinoma (LC) resultsin two major types likenon-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). As such, it is malignant in nature and the mortality rate is very high. The main aim is to evaluate the risk factor of the patient with LC being ranked towards the priority treatment for the longevit...
Article
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Generation expansion planning (GEP) is a widely studied problem in the literature. However, with increasing participation of renewable energy sources (RES), the problem has to be looked upon considering intermittency associated with these sources. Integration of storage devices is seen as a viable option for counteracting the intermittency, particu...
Article
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In echocardiography, an electrocardiogram is conventionally utilised in the chronological arrangement of diverse cardiac views for measuring critical measurements. Cardiac view classification plays a significant role in the identification and diagnosis of cardiac disease. Early detection of cardiac disease can be cured or treated, and medical exper...
Article
Full-text available
Forest fires destroy productive land throughout the world. In Brazil, mainly the Northeast of Brazil (NEB) is strongly affected by forest fires and bush fires. Similarly, there is no adequate study of long-term data from ground and satellite-based estimation of fire foci in NEB. The objectives of this study are: (i) to evaluate the spatiotemporal e...
Article
The Internet of Things (IoT) has subsequently been applied to a variety of sectors, including smart grids, farming, weather prediction, power generation, wastewater treatment, and so on. So if the Internet of Things has enormous promise in a wide range of applications, there still are certain areas where it may be improved. Designers had focused ou...
Article
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Structural engineering is the engineering discipline that deals with a structure’s or building’s structural robustness. Structural engineering is a civil engineering specialisation that guarantees structures are secure, stable and do not collapse when loaded. The process of construction takes cost and time that has huge impact in the entire process...
Article
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Continuous growth in software, hardware and internet technology has enabled the growth of internet-based sensor tools that provide physical world observations and data measurement. The Internet of Things(IoT) is made up of billions of smart things that communicate, extending the boundaries of physical and virtual entities of the world further. Thes...
Article
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The common bacteria found in fruit and vegetables are Pseudomonas fluorescens which is Germ-negative and is rod-shaped. Pseudomonas fluorescens has been originated from the rhizosphere of Roorkee-grown okra. The presented work involves recognizing and controlling the isolates of Pseudomonas fluorescens. The scope of the proposed work is that the te...
Article
A Wireless Sensor Network (WSN) is a network made up of many sensor nodes that are geographically dispersed. Because the sensor nodes in WSN are battery-powered, energy efficiency is a major issue. As a result, it is critical to make effective use of available energy in order to avoid energy waste. The clustering system provides an energy-efficient...
Article
A Wireless Sensor Network (WSN) is a network made up of many sensor nodes that are geographically dispersed. Because the sensor nodes in WSN are battery-powered, energy efficiency is a major issue. As a result, it is critical to make effective use of available energy in order to avoid energy waste. The clustering system provides an energy-efficient...
Article
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The classification of hyperspectral imagery (HSI) is essential in the surface of earth observation. Due to the continuous large number of bands, HSI data provide rich information about the object of study; however, it suffers from the curse of dimensionality. Dimensionality reduction is an essential aspect of Machine learning classification. The al...
Article
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The recent outbreak of COVID-19 pandemic cases around the globe has affected Saudi Arabia with around 15, 00,000 confirmed cases within the initial 4 months of transmission. The present investigation analyzed the relationship between daily COVID-19 confirmed cases and meteorological parameters in seventeen cities of KSA. We used secondary published...
Article
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The use of organic farming in the Thar desert region (great Indian desert) is extremely low due to the low humidity and high temperatures across India. As a result, the desert area faces significant challenges in agricultural production and in meeting the demand for high-quality food. Thus, the farming community in this area needs to expand to meet...
Article
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Citation: Mangan, P.; Pandi, D.; Haq, M.A.; Sinha, A.; Nagarajan, R.; Dasani, T.; Keshta, I.; Alshehri, M. Analytic Hierarchy Process Based Land Suitability for Organic Farming in the Arid Region. Sustainability 2022, 14, 4542. https://doi.
Article
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The emergence of technology and communication system paved way for the development of the internet of things (IoT). The IoT system generates diversified data and the quantity of the data is also huge. The IoT systems are developed to adhere to the situation and to make intelligent decisions in a specified time. Hence, the IoT system necessitates hi...
Article
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The spread of Omicron, a mutated version of COVID-19 across several countries is leading to the discussion of lockdown once again for curbing the spread of the new virus. In this context, this research is showing the impact of lockdown for the successful control of the COVID-19 pandemic in Saudi Arabia. The outbreak of the COVID-19 pandemic around...
Article
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Availability and diversity of cloud service providers (CSPs) had put the users into confusion for its selection of the appropriate service providers. Some cloud service providers are good at some services while others are good at offering other services. The selection of an appropriate cloud service is one of the multi-criteria decision analysis (M...
Article
In recent years, environmental monitoring is essential to minimize environmental problems. However, the need for more and more aquatic ecosystems from pollution, increasing climate change, and direct environment loss, so that they can continue to be thoroughly monitored for risks. In this system, the implementation of a data reinforcement control t...
Article
Cloud computing leads an organization for data storage, sharing, processing, and other services. It was subjected to several challenges insecurity due to the presence of regular attacks. These security challenges are worsened due to the presence of various attack environments. The conventional techniques adopted in cloud security are Intrusion Dete...
Article
Cloud computing leads an organization for data storage, sharing, processing, and other services. It was subjected to several challenges insecurity due to the presence of regular attacks. These security challenges are worsened due to the presence of various attack environments. The conventional techniques adopted in cloud security are Intrusion Dete...
Article
In a cloud environment, resources should be acquired quickly and automatically released at runtime. Traditional trajectory data partitions, indexing and query processing techniques are extended, so that they can take advantage of the cloud of large clusters of highly parallel processing capabilities. There are ways with trajectory data in the cloud...
Article
Full-text available
In a cloud environment, resources should be acquired quickly and automatically released at runtime. Traditional trajectory data partitions, indexing and query processing techniques are extended, so that they can take advantage of the cloud of large clusters of highly parallel processing capabilities. There are ways with trajectory data in the cloud...
Article
Full-text available
To adopt sustainable crop practices in changing climate, understanding the climatic parameters and water requirements with vegetation is crucial on a spatiotemporal scale. The Planetscope (PS) constellation of more than 130 nano-satellites from Planet Labs revolutionize the high-resolution vegetation assessment. PS-derived Normalized Difference Veg...
Article
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Scintillation due to ionospheric plasma irregularities remains a challenging task for the space science community as it can severely threaten the dynamic systems relying on space-based navigation services. In the present paper, we probe the ionospheric current and plasma irregularity characteristics from a latitudinal arrangement of magnetometers a...
Preprint
Full-text available
Scintillation due to ionospheric plasma irregularities remains a challenging task for the space science community as it can severely threaten the dynamic systems relying on space-based navigation services. We probe the ionospheric current and plasma irregularity characteristics from a latitudinal arrangement of magnetometers and Global Navigation S...
Article
Full-text available
The problem of weeds in crops is a natural problem for farmers. Machine Learning (ML), Deep Learning (DL), and Unmanned Aerial Vehicles (UAV) are among the advanced technologies that should be used in order to reduce the use of pesticides while also protecting the environment and ensuring the safety of crops. Deep Learning-based crop and weed ident...
Article
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The growth of edge computing, the Internet of Things (IoT), and cloud computing have been accompanied by new security issues evolving in the information security infrastructure. Recent studies suggest that the cost of insider attacks is higher than the external threats, making it an essential aspect of information security for organizations. Effici...
Article
Full-text available
The growth of edge computing, the Internet of Things (IoT), and cloud computing have been accompanied by new security issues evolving in the information security infrastructure. Recent studies suggest that the cost of insider attacks is higher than the external threats, making it an essential aspect of information security for organizations. Effici...
Article
Full-text available
Continuous monitoring of ionospheric behavior and subsequent development or improvement of models for the prediction of its parameters with consistent accuracy remains an ongoing challenge. In this sense, an integrated approach by combining the signal extraction technique Singular Spectrum Analysis (SSA) with Autoregressive Moving Average (ARMA) is...
Article
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A crucial task in hyperspectral image (HSI) taxonomy is exploring effective methodologies to effusively practice the 3-D and spectral data delivered by the statistics cube. For classification of images, 3-D data is adjudged in the phases of pre-cataloging, an assortment of a sample, classifiers, post-cataloging, and accurateness estimation. Lastly,...
Article
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The United Nations defined tenable progress as a development that responds to the demands of the current without adjusting the capacity of further generations to fulfil their own requirements; this is a fundamental idea in this article. This study recognizes three aspects, financial, social, and environmental sustainability, although its emphasis i...
Article
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The amount of water taken from non-renewable resources such as aquifers to fulfill irrigation requirements is rarely monitored, putting sustainable agriculture under threat in the face of changing climate. In the present research, an attempt was made to apply multi-sensor (Landsat suite, GRACE, GRACE-FO) satellite data to monitor spatiotemporal evo...
Article
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Studies relating to trends of vegetation, snowfall and temperature in the north-western Himalayan region of India are generally focused on specific areas. Therefore, a proper understanding of regional changes in climate parameters over large time periods is generally absent, which increases the complexity of making appropriate conclusions related t...
Article
Full-text available
Intrusion Detection System (IDS) plays a crucial role in detecting and identifying the DoS and DDoS type of attacks on IoT devices. However, anomaly-based techniques do not provide acceptable accuracy for efficacious intrusion detection. Also, we found many difficulty levels when applying IDS to IoT devices for identifying attempted attacks. Given...
Patent
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SANOBER, SUMAYA; K., USHA; DHUPIA, BHAWNA; NAVEED, QUADRI; BUHARI, SEYED and HAQ, MOHD
Preprint
Full-text available
In echocardiography, an electrocardiogram is conventionally utilized in the chronological arrangement of diverse cardiac views for measuring critical measurements. Cardiac view classification plays a significant role in the identification anddiagnosis of cardiac disease. Early detection of cardiac disease can be cured or treated, and medical expert...
Article
Full-text available
Knowledge of glacier volume is crucial for ice flow modelling and predicting the impacts of climate change on glaciers. Rugged terrain, harsh weather conditions and logistic costs limit field-based ice thickness observations in the Himalaya. Remote-sensing applications, together with mathematical models, provide alternative techniques for glacier i...
Article
Full-text available
Snow and glaciers are important sources of sustainable indicators for the availability of natural resources like freshwater, energy, minerals, forest, and agricultural products. Glaciers are disappearing, and snow cover areas are decreasing in the Himalayas due to increasing global temperatures and other related sensations. This study has been done...
Article
Full-text available
Knowledge of glacier volume is crucial for ice flow modelling and predicting the impacts of climate change on glaciers. Rugged terrain, harsh weather conditions and logistic costs limit field-based ice thickness observations in the Himalaya. Remote-sensing applications, together with mathematical models, provide alternative techniques for glacier i...
Article
Full-text available
Sahibi River is the ephemeral, seasonal river flowing through Rajasthan, Haryana and ends in Najafgarh drain in Delhi. But, it is facing drought for more than a decade due to Climate change, Irregular irrigation and improper Land use management around the Sahibi watershed. To solve this problem, construction of water structures can be helpful to tr...
Article
We have generated permafrost probability distribution maps (10 m resolution) for the north-eastern Himalayan region in Sikkim using remote sensing measurements and machine learning algorithms. Four machine learning algorithms, logistic regression, random forests, support vector machines and neural networks, and two different sets of input data set,...
Article
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We examine spatial and temporal variability in normalized difference vegetation index (NDVI), snow cover and land surface temperature (LST) in Himachal Pradesh between 2001 and 2017 using Moderate Resolution Imaging Spectroradiometer (MODIS) datasets. Mann–Kendall trend tests and Sen's slope estimates indicate increasing NDVI trends during the post...
Conference Paper
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Sending rovers on Mars has always been prolific for the future mission planning. Also, space based remote sensing lead to the selection of suitable landing sites and Mars Reconnaissance Orbiter (MRO) mission's results came out clean on it. Hydrated minerals detection by Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) and mid-latitude s...
Chapter
India is one of the world’s largest economies and economic growth has remained continuous. This has led to accelerating urbanization which requires proper planning and monitoring. As the urban areas are expanding, urban slum areas are also increasing along with it. These growing urban slum areas require proper observation so that existing resources...
Article
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This study attempts to model snow wetness and snow density of Himalayan snow cover using a combination of Hyperspectral image processing and Artificial Neural Network (ANN). Initially, a total of 300 spectral signature measurements, synchronized with snow wetness and snow density, were collected in the field. The spectral reflectance of snow was th...
Article
The smallest district of West Bengal with great potential of growth, is highly influenced by its location on the of Kolkata, Howrah Municipal Corporation area faces the western bank of river Hooghly, just opposite to Kolkata, is the Howrah city. This city is growing since its inception and became an important part of the Kolkata conurbation. Transp...