Recently added

Electrical Engineering: Recent submissions

  • Visualisation patterns in visual reasoning tasks with different complexity levels: insights from human and machine approach 
    Bhattacharya, Debayan; Paikrao, Amit Mahendra; Panja, Soumya; Roy, Anup Kumar; Guha, Rajlakshmi (Springer, 2024-12-06)
    Task complexity plays a crucial role in cognitive development, problem-solving skills, and effective learning. Engaging with complex tasks stimulates higher-order thinking, boosts learner motivation, and prepares students ...
  • PanoHair: detailed hair strand synthesis on volumetric heads 
    Verma, Shashikant; Raman, Shanmuganathan (Cornell University Library, 2025-08)
    Achieving realistic hair strand synthesis is essential for creating lifelike digital humans, but producing high-fidelity hair strand geometry remains a significant challenge. Existing methods require a complex setup for ...
  • A comprehensive review of single-stage onboard chargers for light electric vehicles 
    Mir, Tanzeela; Bharadwaj, Pallavi (Institute of Electrical and Electronics Engineers, 2025-08)
    Electric vehicles (EVs) are revolutionizing the transportation landscape by replacing traditional internal combustion engine vehicles, thereby reshaping the future of mobility and playing an essential role in fostering a ...
  • Transformer augmented multi-resolution hash encoding in diffusion model for 3D point cloud denoising 
    Kumari, Seema; Mishra, Utkarsh; Mandal, Srimanta; Raman, Shanmuganathan (Institute of Electrical and Electronics Engineers, 2025-09-14)
    Denoising 3D point cloud strives to remove noise from noisy data. Existing methods address the problem by estimating point-wise displacement from the point feature or by learning the distribution of noise. In this paper, ...
  • Darts: deformable animation ready templates for clothing humans 
    Verma, Shashikant; Raman, Shanmuganathan (Institute of Electrical and Electronics Engineers, 2025-09-14)
    Accurate 3D modeling of humans and high-fidelity garments is crucial in computer vision and graphics, impacting gaming, virtual, and augmented reality applications. While recent data-driven approaches have progressed in ...
  • GMOT-Mamba: Mamba-based model prediction for generic multiple object tracking 
    Verma, Shashikant; Sebe, Nicu; Raman, Shanmuganathan (Institute of Electrical and Electronics Engineers, 2025-09-14)
    We introduce GMOT-Mamba, a novel Mamba-based model prediction framework for Generic Multiple Object Tracking (GMOT) in video sequences. Our approach features a Weighted Feature Pooling (WFP) layer, which processes encoded ...
  • Inverse design of high power and high voltage LDMOS transistors using deep learning based sample-efficient surrogate model 
    Patel, Rutu; Hegde, Ravi S.; Mohapatra, Nihar Ranjan (Institute of Electrical and Electronics Engineers, 2025-08)
    Device design using Machine Learning has been used in the semiconductor industry over the past ten years. However, the generation of the training data set for precise predictions using this technique remains burdensome. ...
  • Scalable deep bayesian optimization for antenna design with high degrees of freedom 
    Singh, Praveen; Hegde, Ravi S. (Institute of Electrical and Electronics Engineers, 2025-08)
    We propose a novel, scalable deep Bayesian optimization (BO) methodology for designing antennas with a large number of design degrees of freedom. Conventional BO approaches in antenna design have relied on Gaussian process ...
  • SmartStrideFoG: Wearable system to characterize freezing of gait using Stride-to-Stride variability as a biomarker 
    Raghuvanshi, Ankita; Yadav, Vaibhav Ramprasad; Kanetkar, Manasi; Lahiri, Uttama (Institute of Electrical and Electronics Engineers (IEEE), 2025-06-05)
    Freezing of Gait (FoG) is a debilitating motor symptom of individuals with Parkinson’s Disease (PD). The FoG is characterized by sudden interruptions in movement despite one’s intention to walk. Research suggests the ...
  • Data-driven real-time dynamic pricing for dual-PV-grid-powered bidirectional electric vehicle charging 
    Ramanathan, N. S.; Bharadwaj, Pallavi (Elsevier, 2026-01)
    Transportation electrification is revolutionizing a progressive transition to attain net zero goals. Renewable energy integration emerges as a promising solution to reduce both the dependency on fossil fuels and control ...
  • Editorial for the JEDS Special Issue for EDTM 2024 
    Mohapatra, Nihar Ranjan; Tiwari, Shree Prakash; Sahay, Shubham; Nair, Deleep; Das, Saptarshi; Karve, Gauri; Raghavan, Nagarajan; Sebastian, Abu; Sanuki, Tomoya (Institute of Electrical and Electronics Engineers (IEEE), 2025)
    This Special Issue of the IEEE Journal of the Electron Devices Society (J-EDS) features a selection of outstanding papers presented at the 2024 IEEE Electron Devices Technology and Manufacturing (EDTM) Conference. Sponsored ...
  • Fourier domain gradient descent total least square/fourth algorithm for efficient adaptive direction of arrival estimation 
    Joel, S.; Yadav, Shekhar Kumar; Karthik, Munukutla L. N. Srinivas; George, Nithin V. (Institute of Electrical and Electronics Engineers (IEEE), 2025-08)
    Direction-of-arrival (DOA) estimation is formulated within an adaptive-filtering framework that partitions the sensor array into a reference element and an auxiliary array. The auxiliary-array signal is filtered and ...
  • A soft error self-resilience radiation-hardened 14T SRAM for aerospace applications 
    Anjaneyulu, Guguloth; Panigrahy, Asisa Kumar; Kumar, Mukku Pavan; Haq, Shams Ul; Darabi, Abdolreza; Abbasian, Erfan; Sharma, Priyanka; Prakash, M. Durga (Institute of Electrical and Electronics Engineers (IEEE), 2025)
    Various charged particles in space threaten memory circuit integrity and dependability, including photons, alpha particles, and high-energy ions outside the Low Earth Orbit region. These particles particularly affect ...
  • A single-phase grid-tied transformer-less multilevel solar inverter with voltage boost 
    Chakraborty, Soham; Sarkar, Koustuv; Maiti, Dipten; Chakrabarti, Abanishwar; Dasgupta, Sukanya; Biswas, Sujit K. (Institute of Electrical and Electronics Engineers (IEEE), 2025-08)
    This work proposes a single-phase multilevel grid-tied transformer-less solar inverter with voltage boost. The system comprises of two cascaded stages: the first is a partially rated dc–dc boost converter to create four ...
  • A hysteretic-controlled digital LDO regulator for enhanced load transient response 
    Tripathi, Kartikay Mani; Pathak, Madhav; Manhas, Sanjeev; Bulusu, Anand (Institute of Electrical and Electronics Engineers (IEEE), 2025-07-07)
    This work presents a digital low dropout (DLDO) regulator design with integrated hysteretic control (HC) for improved load transient response towards power management applications in low-power low-voltage systems. The ...
  • On the ESD Protection for 10V-Compliant Neural Stimulator in 65nm CMOS Technology 
    Ahmad, Naef; Lashkare, Sandip; Somappa, Laxmeesha (Institute of Electrical and Electronics Engineers (IEEE), 2025-05-25)
    Implantable biomedical circuits offer wide applications including the treatment of neurological disorders. To ensure reliability in terms of ESD (Electrostatic discharge) damage from fabrication, packaging, and user handling, ...
  • A novel hierarchical pipeline for fine-grained punch recognition in uncontrolled setting 
    Baghel, Vipul; Deb, Sagar Deep; Nagisetti, Rithihas; Srinivasan, Babji; Hegde, Ravi S. (Springer, 2024-12-19)
    Human Action Recognition (HAR) is one of the most emerging topics in the field of Computer Vision. It finds utilization in a wide range of applications like athletics, healthcare, security, sports performance, etc. In ...
  • Multi-physics modeling of Au/MoS2/Au memristors combining molecular dynamics and electro-thermal simulations 
    Tewari, Mohit; Amaram, Ashutosh Krishna; Agarwal, Tarun (Institute of Electrical and Electronics Engineers (IEEE), 2025-03-09)
    The state transition in Au/MoS2/Au memristor across several cycles is analysed in this work using a multiphysics modeling framework that combines electrothermal Finite Element Method (FEM) and Reactive Molecular Dynamics ...
  • Electrical tunability in band-to-band-tunneling based neuron for low power neuromorphic computing 
    Patil, Shubham; Sakhuja, Jayatika; Biswas, Anmol; Hajare, Hemant; Kadam, Abhishek; Deshmukh, Shreyas; Singh, Ajay Kumar; Lashkare, Sandip; Mohapatra, Nihar Ranjan; Ganguly, Udayan (Institute of Electrical and Electronics Engineers (IEEE), 2025-03-09)
    In this work, we show the electrical control in the ultra-energy and area-efficient BTBT-based Si-neuron and the impact on network performance. We show the control of gate bias and current threshold on the spiking threshold ...
  • Enhanced ESD protection techniques for 10V neurostimulator circuits in 65nm CMOS technology 
    Das, Tanay; Ahmad, Naef; Somappa, Laxmeesha; Lashkare, Sandip (Institute of Electrical and Electronics Engineers (IEEE), 2025-03-09)
    custom Electrostatic Discharge (ESD) protection circuit is essential for the reliability of 10−V neurostimulators implemented in a standard low-voltage CMOS process. The typical foundry-provided ESD diode cannot protect ...

Search Digital Repository


Browse

My Account