Items where Author is "Kumar, A."

Article

Nagamani Prabu, A. and Revathi, N. and Kumar, A. and Fatima, A. and Mohamed Abdulla, I. and Ubaidullah, M. and Pandit, B. and Kansal, L. and Payal, H. and Janarthanan, B. and Yusuf, M. and Sehgal, S.S. (2023) Analysing the design, fabrication, and performance of a compact parabolic trough collector equipped with a shell-type receiver made from a variety of metals and introduced with single slope solar still. Journal of King Saud University - Science, 35 (7). ISSN 10183647

Kumar, A. and Ridha, S. and Ilyas, S.U. and Dzulkarnain, I. and Pratama, A. (2022) Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus. Neural Computing and Applications.

Jhatial, A.A. and Kumar, A. and Bheel, N. and Sohu, S. and Goh, W.I. (2022) Assessing the sustainability and cost-effectiveness of concrete incorporating various fineness of eggshell powder as supplementary cementitious material. Environmental Science and Pollution Research.

Bheel, N. and Sohu, S. and Jhatial, A.A. and Memon, N.A. and Kumar, A. (2022) Combined effect of coconut shell and sugarcane bagasse ashes on the workability, mechanical properties and embodied carbon of concrete. Environmental Science and Pollution Research, 29 (4). pp. 5207-5223.

Kumar, A. and Ridha, S. and Ilyas, S.U. and Dzulkarnain, I. and Astra Agus Pramana, D.N. (2022) Correction to: Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus (Neural Computing and Applications, (2022), 34, 14, (12043-12061), 10.1007/s00521-022-07092-w). Neural Computing and Applications, 34 (23). p. 21415. ISSN 09410643

Kumar, I. and Kumar, A. and Kumar, V.D.A. and Kannan, R. and Vimal, V. and Singh, K.U. and Mahmud, M. (2022) Dense Tissue Pattern Characterization Using Deep Neural Network. Cognitive Computation.

Keerio, M.A. and Abbasi, S.A. and Kumar, A. and Bheel, N. and Rehaman, K. and Tashfeen, M. (2022) Effect of Silica Fume as Cementitious Material and Waste Glass as Fine Aggregate Replacement Constituent on Selected Properties of Concrete. Silicon, 14 (1). pp. 165-176.

Kumar, A. and Bheel, N. and Ahmed, I. and Rizvi, S.H. and Kumar, R. and Jhatial, A.A. (2022) Effect of silica fume and fly ash as cementitious material on hardened properties and embodied carbon of roller compacted concrete. Environmental Science and Pollution Research, 29 (1). pp. 1210-1222.

Bheel, N. and keerio , M.A. and Kumar, A. and Shahzaib, J. and Ali, Z. and Ali, M. and sohu , S. (2022) An Investigation on Fresh and Hardened Properties of Concrete Blended with Rice Husk Ash as Cementitious Ingredient and Coal Bottom Ash as Sand Replacement Material. Silicon, 14 (2). pp. 677-688.

Bheel, N. and Sohu, S. and Awoyera, P. and Kumar, A. and Abbasi, S.A. and Olalusi, O.B. (2021) Effect of Wheat Straw Ash on Fresh and Hardened Concrete Reinforced with Jute Fiber. Advances in Civil Engineering, 2021.

Saand, A. and Ali, K. and Kumar, A. and Bheel, N. and Keerio, M.A. (2021) Effect of metakaolin developed from natural material Soorh on fresh and hardened properties of self-compacting concrete. Innovative Infrastructure Solutions, 6 (3).

Kumar, A. and Ridha, S. and Narahari, M. and Ilyas, S.U. (2021) Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources. Expert Systems with Applications, 183.

Kumar, A. and Ridha, S. and Ganet, T. and Vasant, P. and Ilyas, S.U. (2020) Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation. Applied Sciences (Switzerland), 10 (7).

Gupta, A. and Kumar, A. and Sharma, K.V. and Gupta, R. (2018) Application of High Conductive Nanoparticles to Enhance the Thermal and Mechanical Properties of Wood Composite. Materials Today: Proceedings, 5 (1). pp. 3143-3149.

Gupta, A. and Kumar, A. and Sharma, K.V. and Gupta, R. (2018) Application of High Conductive Nanoparticles to Enhance the Thermal and Mechanical Properties of Wood Composite. Materials Today: Proceedings, 5 (1). pp. 3143-3149.

Md Khir, M.H. and Kumar, A. and Wan Yusoff, W.I. (2016) Accelerometer Sensor Specifications to Predict Hydrocarbon Using Passive Seismic Technique. Journal of Sensors, 2016.

Inayat, M. and Sulaiman, S.A. and Kumar, A. and Guangul, F.M. (2016) Effect of fuel particle size and blending ratio on syngas production and performance of co-gasification. Journal of Mechanical Engineering and Sciences, 10 (2). pp. 2187-2199.

Kumar, A. and Paramesran, R. and Lim, C.-L. and Dass, S.C. (2016) Tchebichef moment based restoration of Gaussian blurred images. Applied Optics, 55 (32). pp. 9006-9016.

Hegde, G. and Abdul Manaf, S.A. and Kumar, A. and Ali, G.A.M. and Chong, K.F. and Ngaini, Z. and Sharma, K.V. (2015) Biowaste Sago Bark Based Catalyst Free Carbon Nanospheres: Waste to Wealth Approach. ACS Sustainable Chemistry and Engineering, 3 (9). pp. 2247-2253.

Kumar, A. and Hegde, G. and Manaf, S.A.B.A. and Ngaini, Z. and Sharma, K.V. (2014) Catalyst free silica templated porous carbon nanoparticles from bio-waste materials. Chemical Communications, 50 (84). pp. 12702-12705.

Verma, K. and Hasbullah, H. and Kumar, A. (2013) Prevention of DoS attacks in VANET. Wireless Personal Communications, 73 (1). pp. 95-126.

Conference or Workshop Item

Kumar, A. and Ridha, S. and Ilyas, S.U. (2020) Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications. In: UNSPECIFIED.

Kumar, A. and Yusoff, W.I.W. and Asirvadam, V.S. and Dass, S.C. (2014) Integrated analysis of well logs and seismic data for reservoir characterization to estimate hydrocarbon. In: UNSPECIFIED.