Search Results - "Khan, Md. Nasim"

Chiral Triptycenes: Concepts, Progress and Prospects by Khan, Md. Nasim, Wirth, Thomas

“…Triptycenes have been established as unique scaffolds because of their backbone π‐structure with a propeller‐like shape and saddle‐like cavities. They are some…”
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Advances in CO2 activation by frustrated Lewis pairs: from stoichiometric to catalytic reactions by Md Nasim Khan, Yara van Ingen, Boruah, Tribani, McLauchlan, Adam, Wirth, Thomas, Melen, Rebecca L

“…The rise of CO2 concentrations in the environment due to anthropogenic activities results in global warming and threatens the future of humanity and…”
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Frontispiece: Chiral Triptycenes: Concepts, Progress and Prospects by Khan, Md. Nasim, Wirth, Thomas

“…The journey of chiral triptycenes started in 1962 with their first synthesis. Until 1984 several chiral triptycene derivatives were synthesized and their…”
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Non-Parametric Association Rules Mining and Parametric Ordinal Logistic Regression for an In-Depth Investigation of Driver Speed Selection Behavior in Adverse Weather using SHRP2 Naturalistic Driving Study Data by Nasim Khan, Md, Das, Anik, Ahmed, Mohamed M.

“…Human error is considered to be one of the major causes of crashes, especially in inclement weather. Although many studies have investigated the effect of…”
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Weather and surface condition detection based on road-side webcams: Application of pre-trained Convolutional Neural Network by Md Nasim Khan, Mohamed M. Ahmed

“…Adverse weather has long been recognized as one of the major causes of motor vehicle crashes due to its negative impact on visibility and road surface…”
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Impact of level 2 automation on driver behavior: A study using association rules mining by Chakraborty, Rohit, Aaqib Javed, Syed, Das, Subasish, Kutela, Boniphace, Nasim Khan, Md

“…•Examined the impact of Level 2 automation systems on driving behavior using naturalistic driving data.•Utilized association rules mining on the collected…”
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Advances in CO 2 activation by frustrated Lewis pairs: from stoichiometric to catalytic reactions by Khan, Md Nasim, van Ingen, Yara, Boruah, Tribani, McLauchlan, Adam, Wirth, Thomas, Melen, Rebecca L

“…The rise of CO concentrations in the environment due to anthropogenic activities results in global warming and threatens the future of humanity and…”
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One pot four-component reaction for the efficient synthesis of spiro[indoline-3,4′-pyrano[2,3-c]pyrazole]-3′-carboxylate derivatives by Pal, Suman, Khan, Md. Nasim, Karamthulla, Shaik, Abbas, Sk Jahir, Choudhury, Lokman H.

“…A novel one pot protocol has been developed to synthesize various spiro[indoline-3,4′-pyrano[2,3-c]pyrazole]-3′-carboxylate derivatives from the four-component…”
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Investigating the Impact of Fog on Freeway Speed Selection using the SHRP2 Naturalistic Driving Study Data by Khan, Md Nasim, Ghasemzadeh, Ali, Ahmed, Mohamed M.

“…The negative effect of reduced visibility on driver performance has been recognized as one of the main causes of motor vehicle crashes in fog. Although many…”
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Prediction of Truck-Involved Crash Severity on a Rural Mountainous Freeway Using Transfer Learning with ResNet-50 Deep Neural Network by Khan, Md Nasim, Das, Anik, Ahmed, Mohamed M.

“…Crashes involving heavy trucks on rural mountainous freeways are known to result in severe injuries and fatalities, particularly under challenging driving…”
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Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features by Khan, Md Nasim, Das, Anik, Ahmed, Mohamed M., Wulff, Shaun S.

“…The primary objective of this study was to develop a trajectory-level weather detection system capable of providing real-time weather information at the road…”
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Understanding non-motorists' views on automated vehicle safety through Bayesian network analysis and latent dirichlet allocation by Subasish Das, Abbas Sheykhfard, Jinli Liu, Md Nasim Khan

“…Automated vehicles (AVs) hold great promise for creating a safer, more efficient, more equitable, and more sustainable transportation system. However, the…”
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Synthesis of pyranocoumarin fused spirooxindoles via Knoevenagel/Michael/cyclization sequence: a regioselective organocatalyzed multicomponent reaction by Pal, Suman, Khan, Md. Nasim, Karamthulla, Shaik, Choudhury, Lokman H.

“…[Display omitted] Synthesis of pyranocoumarin fused spirooxindole derivatives from the three-component reaction of isatin, malononitrile, and…”
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KF/Al2O3 Mediated Multicomponent Reactions for the Efficient Synthesis of Highly Substituted Dihydropyridines by Pal, Suman, Khan, Md. Nasim, Choudhury, Lokman H.

“…KF/Al2O3 was found to be an efficient solid supported catalyst for the facile access of highly substituted dihydropyridine derivatives from the multicomponent…”
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Oxy-functionalization of olefins with neat and heterogenized binuclear V(IV)O and Fe(II) complexes: Effect of steric hindrance on product selectivity and output in homogeneous and heterogeneous phase by Parmar, Digvijaysinh K., Butani, Pinal M., Thumar, Niraj J., Jasani, Pinal M., Padaliya, Ravi V., Sandhiya, Paba R., Nakum, Haresh D., Khan, Md. Nasim, Makwana, Dipak

“…[Display omitted] •Binuclear complexes of V(IV)O and Fe(II) have been prepared and characterized by various Physico-chemical analysis.•Catalysts have…”
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Advancing traffic safety through the safe system approach: A systematic review by Khan, Md Nasim, Das, Subasish

“…•SSA is a holistic traffic safety framework with system-wide interventions.•A systematic review of 82 studies highlights the effectiveness of SSA.•Systematic…”
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Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysis by Liu, Jinli, Das, Subasish, Khan, Md Nasim

“…Understanding the relationship between social disparities and traffic crash frequency is essential for long-term transportation planning and policymaking. Few…”
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Predicting pedestrian-involved crash severity using inception-v3 deep learning model by Khan, Md Nasim, Das, Subasish, Liu, Jinli

“…This research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash severity using data collected over five years (2016-2021) from…”
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Snow Detection using In-Vehicle Video Camera with Texture-Based Image Features Utilizing K-Nearest Neighbor, Support Vector Machine, and Random Forest by Khan, Md Nasim, Ahmed, Mohamed M.

“…Snowfall negatively affects pavement and visibility conditions, making it one of the major causes of motor vehicle crashes in winter weather. Therefore,…”
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Development of a Novel Convolutional Neural Network Architecture Named RoadweatherNet for Trajectory-Level Weather Detection using SHRP2 Naturalistic Driving Data by Khan, Md Nasim, Ahmed, Mohamed M.

“…Driver performances could be significantly impaired in adverse weather because of poor visibility and slippery roadways. Therefore, providing drivers with…”
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