Theoretical discussion on internationalisation of the firm in business studies by Vijay Narayanan

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Theorizing on entrepreneurial orientation in international business: A synthetic review by Vijay Narayanan

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Theorizing on entrepreneurial orientation in international business: A synthetic review by Vijay Narayanan

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Theoretical discussion on internationalisation of the firm in business studies by Vijay Narayanan

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Export Barriers for Small and Medium-sized Enterprises: A Literature Review based on Leonidou’s Model by Vijay Narayanan

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Theorizing on entrepreneurial orientation in international business: A synthetic review by Vijay Narayanan

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Comparison between Plain Ropivacaine, Ropivacaine with Buprenorphine and Ropivacaine with Clonidine for Intrathecal use in Lower Limb Orthopaedic Surgeries: A Randomised Controlled... by D Vasanth, Vijay Narayanan, SA Senthil Kumar

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Five-membered ring annelation in [2.2]paracyclophanes by aldol condensation by Henning Hopf, Swaminathan Vijay Narayanan, Peter G. Jones

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The preparation of new functionalized [2.2]paracyclophane derivatives with N-containing functional groups by Henning Hopf, Swaminathan Vijay Narayanan, Peter G. Jones

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Impact of analog memory device failure on in-memory computing inference accuracy by Ning Li, Hsinyu Tsai, Vijay Narayanan, Malte Rasch

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Comparison of levobupivacaine over lignocaine for peribulbar anesthesia in cataract surgery – A randomized control study in a tertiary care hospital by K Sheik Abdullah, T Krishna Prasad, S Vijay Narayanan, Mahnoor Jaffar

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Neural network learning using non-ideal resistive memory devices by Youngseok Kim, Tayfun Gokmen, Hiroyuki Miyazoe, Paul Solomon, Seyoung Kim, Asit Ray, Jonas Doevenspeck, Raihan S. Khan, Vijay Narayanan, Takashi Ando

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Using the IBM analog in-memory hardware acceleration kit for neural network training and inference by Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch

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Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators by Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frédéric Odermatt, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan

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Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference by Ning Li, Charles Mackin, An Chen, Kevin Brew, Timothy Philip, Andrew Simon, Iqbal Saraf, Jin‐Ping Han, Syed Ghazi Sarwat, Geoffrey W. Burr, Malte Rasch, Abu Sebastian, Vijay Narayanan, Nicole Saulnier

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Impact of Phase‐Change Memory Flicker Noise and Weight Drift on Analog Hardware Inference for Large‐Scale Deep Learning Networks by Jin-Ping Han, Malte J. Rasch, Zuoguang Liu, Paul Solomon, Kevin Brew, Kangguo Cheng, Injo Ok, Victor Chan, Michael Longstreet, Wanki Kim, Robert L. Bruce, Cheng-Wei Cheng, Nicole Saulnier, Vijay Narayanan

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Demonstration of transfer learning using 14 nm technology analog ReRAM array by Fabia Farlin Athena, Omobayode Fagbohungbe, Nanbo Gong, Malte J. Rasch, Jimmy Penaloza, SoonCheon Seo, Arthur Gasasira, Paul Solomon, Valeria Bragaglia, Steven Consiglio, Hisashi Higuchi, Chanro Park, Kevin Brew, Paul Jamison, Christopher Catano, Iqbal Saraf, Claire Silvestre, Xuefeng Liu, Babar Khan, Nikhil Jain, Steven McDermott, Rick Johnson, I. Estrada-Raygoza, Juntao Li, Tayfun Gokmen, Ning Li, Ruturaj Pujari, Fabio Carta, Hiroyuki Miyazoe, Martin M. Frank, Antonio La Porta, Devi Koty, Qingyun Yang, Robert D. Clark, Kandabara Tapily, Cory Wajda, Aelan Mosden, Jeff Shearer, Andrew Metz, Sean Teehan, Nicole Saulnier, Bert Offrein, Takaaki Tsunomura, Gert Leusink, Vijay Narayanan, Takashi Ando

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