Manish Pandey
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View article: Evaluating landslide susceptibility along a road corridor in complex Himalayan Terrain, India using analytical hierarchy process, frequency ratio and information value methods
Evaluating landslide susceptibility along a road corridor in complex Himalayan Terrain, India using analytical hierarchy process, frequency ratio and information value methods Open
The young and dynamic Himalaya region of Uttarakhand is prone to frequent landslides due to its complex and geologically active characteristics. Slope stability is highly affected by the rapid development of infrastructure and changing cli…
View article: Adaptive Multi-Agent Reinforcement Learning for Dynamic Traffic Signal Optimization In Zero-Emission Urban Mobility
Adaptive Multi-Agent Reinforcement Learning for Dynamic Traffic Signal Optimization In Zero-Emission Urban Mobility Open
The high rates of urbanization and high concentration of vehicles have led to extreme traffic congestion, thereby contributing significantly to greenhouse gas emissions. This study proposes an Adaptive Multi-Agent Reinforcement Learning (…
View article: Machine learning model optimization for flood susceptibility zonation over the Kosi megafan, Himalayan foreland basin, India
Machine learning model optimization for flood susceptibility zonation over the Kosi megafan, Himalayan foreland basin, India Open
The Kosi Megafan, located in the Himalayan foreland basin, is highly susceptible to devastating floods, posing significant threats to lives and livelihoods. Accurate flood susceptibility mapping is crucial for effective flood risk manageme…
View article: FedContrast: A Contrastive Learning Framework to Mitigate Client Drift Under Statistical Heterogeneity in Federated Multi-Class Soil Classification
FedContrast: A Contrastive Learning Framework to Mitigate Client Drift Under Statistical Heterogeneity in Federated Multi-Class Soil Classification Open
FedContrast is a novel contrastive learning framework designed to improve federated classification performance under statistical heterogeneity through representation alignment techniques. It was implemented on two complementary soil image …
View article: Analyzing The Transboundary River Water Dispute Between Two Asian Giants
Analyzing The Transboundary River Water Dispute Between Two Asian Giants Open
Increasing population and infrastructure development of world has deeply affected the natural resources specially water. There has been a continuous burden on the limited water resources to cope up with the pace of development and growth l…
View article: The barley mutant’s genetic variability of some important quantitative characters
The barley mutant’s genetic variability of some important quantitative characters Open
View article: Seasonal Patterns of Vector-Borne Diseases in Response to Climate Variability
Seasonal Patterns of Vector-Borne Diseases in Response to Climate Variability Open
The present study asks which elements of climate variability actually steer the seasonal rises and falls of vector-borne diseases. In simpler terms, when will Zika spike because rainfall hit a threshold, and can anyone model that pattern b…
View article: Landslide Susceptibility Mapping in Complex Topo‐Climatic Himalayan Terrain, India Using Machine Learning Models: A Comparative Study of <scp>XGBoost</scp> , <scp>RF</scp> and <scp>ANN</scp>
Landslide Susceptibility Mapping in Complex Topo‐Climatic Himalayan Terrain, India Using Machine Learning Models: A Comparative Study of <span>XGBoost</span> , <span>RF</span> and <span>ANN</span> Open
Landslides present a significant danger to both infrastructure and human lives in the challenging terrain of the Himalayas. Therefore, it is crucial to accurately map areas prone to landslides to facilitate informed decision‐making and pro…
View article: FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence
FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence Open
Ensuring fairness in automated decision-making is a critical challenge, especially in organizational contexts like recruitment, performance evaluation, and promotion. As machine learning (ML) and artificial intelligence (AI) increasingly i…
View article: Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models
Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Open
View article: Spatial distribution of corrosion products from a bridge pier
Spatial distribution of corrosion products from a bridge pier Open
This paper studies the spatial distribution of corrosion by-products by a bridge pier within a conductive medium. An electrochemical impedance spectroscopy (EIS) technique was used to investigate an uncoated metallic bridge pier submerged …
View article: Optimized ensemble-based flood hazard mapping in low altitude subtropical riverine terrane
Optimized ensemble-based flood hazard mapping in low altitude subtropical riverine terrane Open
Among various natural hazards, those induced by hydrological and meteorological factors have emerged as the most frequent and damaging. India is at the second from the top, after Bangladesh, of flood hazard-affected countries of the world,…
View article: Spatio-temporal analysis of riverbank changes using remote sensing and geographic information system
Spatio-temporal analysis of riverbank changes using remote sensing and geographic information system Open
Fluvial hazards cause severe damage to human lives and properties. The increased intrusion of anthropogenic activities into natural hydrological cycles has increased hazard severity and confounded river channel dynamics. The present articl…
View article: Comprehensive climatic variability analysis and its significance on flood occurrences in the Middle Ganga Plain, India
Comprehensive climatic variability analysis and its significance on flood occurrences in the Middle Ganga Plain, India Open
Climate variability significantly affects rainfall, air temperature, relative humidity, and solar radiation. In subtropical regions like India, intense monsoon rainfall primarily causes floods. This study aims to analyze the climatic facto…
View article: Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania
Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania Open
Study region: Prahova river basin located in the central-southern region of Romania. Study focus: This study aims to assess the susceptibility to flooding by using state-of-the-art machine learning and optimization procedures. To achieve t…
View article: " Assessing The Impact of Land Use Changes on Pm2.5 Concentrations: A Geographically Weighted Regression Approach "&#160;
" Assessing The Impact of Land Use Changes on Pm2.5 Concentrations: A Geographically Weighted Regression Approach "  Open
The increase in urbanization and migration has led to the unprecedented growth in anthropogenic pollutants especially the pollution caused by PM2.5. The effects of the land surface changes on these pollutants are significant. Research in t…
View article: Novel ensemble models and their optimization based flood susceptibility modelling in Indian Himalayan Foreland Basin
Novel ensemble models and their optimization based flood susceptibility modelling in Indian Himalayan Foreland Basin Open
This study focuses on the mapping of flood susceptibility in a specific region characterized by a low-altitude-range, sub-tropical monsoonal climate, and a riverine floodplain environment within the Middle Ganga Plain. To achieve this, fou…
View article: Rule-based fuzzy inference system for landslide susceptibility mapping along national highway 7 in Garhwal Himalayas, India
Rule-based fuzzy inference system for landslide susceptibility mapping along national highway 7 in Garhwal Himalayas, India Open
The Mountainous terrain,in the Himalayas is experiencing rapid development in a bewildering manner, which makes it more susceptible to landslides. Management and mitigation of landslide hazard begin with its mapping by integrating numerous…
View article: Activated protein C modulates T-cell metabolism and epigenetic FOXP3 induction via α-ketoglutarate
Activated protein C modulates T-cell metabolism and epigenetic FOXP3 induction via α-ketoglutarate Open
A direct regulation of adaptive immunity by the coagulation protease activated protein C (aPC) has recently been established. Preincubation of T cells with aPC for 1 hour before transplantation increases FOXP3+ regulatory T cells (Tregs) a…
View article: Topography and rainfall coupled landscape evolution of the passive margin of Sahyadri (Western Ghats), India
Topography and rainfall coupled landscape evolution of the passive margin of Sahyadri (Western Ghats), India Open
The passive margin of the Indian peninsula, revered as Sahyadri (Western Ghats) from time immortal, stretches along the western margin of the Indian Craton. It acts as an orographic barrier, and the frontal part of this continental-scale e…
View article: Landuse/landcover monitoring and spatiotemporal modelling using multilayer perceptron and ‘multilayer perceptron’-Markov Chain ensemble models: A case study of Dausa City, Rajasthan
Landuse/landcover monitoring and spatiotemporal modelling using multilayer perceptron and ‘multilayer perceptron’-Markov Chain ensemble models: A case study of Dausa City, Rajasthan Open
The present work is an attempt to the LULC classification, monitoring, and spatiotemporal prediction using Artificial Neural Network - Multi-Layer Perceptron (MLP) and MLP-Markov Chain (MC) models. Dausa city and its surroundings of Rajast…
View article: Some observations on the prediction of bridge scour from first principles
Some observations on the prediction of bridge scour from first principles Open
<p>The development and generation of scour holes around hydraulic infrastructures, such as bridge piers, can affect their stability and lead to their structural failure. Bridge scour is becoming increasingly challenging to tackle, es…
View article: Flood susceptibility computation using state-of-the-art machine learning and optimization algorithms
Flood susceptibility computation using state-of-the-art machine learning and optimization algorithms Open
The present study aims to estimate the flood susceptibility degree over the Prahova River basin located in the central-southern part of Romania. To obtain the proposed outcomes, the next 10 flood predictors were used as independent variabl…
View article: Flood Susceptibility Modeling in a Subtropical Humid Low-Relief Alluvial Plain Environment: Application of Novel Ensemble Machine Learning Approach
Flood Susceptibility Modeling in a Subtropical Humid Low-Relief Alluvial Plain Environment: Application of Novel Ensemble Machine Learning Approach Open
This study has developed a new ensemble model and tested another ensemble model for flood susceptibility mapping in the Middle Ganga Plain (MGP). The results of these two models have been quantitatively compared for performance analysis in…
View article: Review for "Characterization and assessment of flood inundated areas of lower Brahmaputra River Basin using multitemporal Synthetic Aperture Radar data: A case study from NE India"
Review for "Characterization and assessment of flood inundated areas of lower Brahmaputra River Basin using multitemporal Synthetic Aperture Radar data: A case study from NE India" Open
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View article: Identification of plant beneficial Bacillus spp. for Resilient agricultural ecosystem
Identification of plant beneficial Bacillus spp. for Resilient agricultural ecosystem Open
View article: Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics
Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics Open
Assessing the performance of land change simulation models is a critical step when predicting the future landscape scenario. The study was conducted in the district of Varanasi, Uttar Pradesh, India because the city being “the oldest livin…
View article: Linkage between the Forest Fires and the Meteorological Parameters during the current climatic regime using Spatial Clustering, Regression, and Combination Matrix Analysis
Linkage between the Forest Fires and the Meteorological Parameters during the current climatic regime using Spatial Clustering, Regression, and Combination Matrix Analysis Open
The present study has been carried out to assess the spatial behaviour of forest fire count (FFC) data and Climate Forecast System Reanalysis (CFSR) derived meteorological parameters in Uttar Pradesh to explore the linkages amongst them. T…
View article: Triple Water Vapour–Isotopologues Record from Chhota Shigri, Western Himalaya, India: A Unified Interpretation based on δ17O, δ18O, δD and Comparison to Meteorological Parameters
Triple Water Vapour–Isotopologues Record from Chhota Shigri, Western Himalaya, India: A Unified Interpretation based on δ17O, δ18O, δD and Comparison to Meteorological Parameters Open
The objective of this study is to investigate and understand the source and transportation of water vapour in the western Himalayan region—that is still missing—using water vapour stable isotopologues and air mass trajectory diagnostics. W…
View article: Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors Open
There is an evident increase in the importance that remote sensing sensors play in the monitoring and evaluation of natural hazards susceptibility and risk. The present study aims to assess the flash-flood potential values, in a small catc…