Balasubramanyam Appina

Employment

• IIT Indore

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• A No-Reference Framework for Animated Video Quality Prediction in Consumer Multimedia Applications
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3671988
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• A Reference-Free Framework for Stereoscopic Image Quality Evaluation Using Wavelet and Sharpness Features of Scene Components
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3693751
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• Automated Parkinson’s Disease Detection System Using FBSE-FAWT-Based Time-Frequency Representation of Speech Signals
  IEEE Transactions on Human-Machine Systems 2026 DOI: 10.1109/THMS.2026.3667216
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• Blind Laparoscopic Video Quality Prediction Using Scene Statistical Dependencies of Luminance, Color, and Structural Maps
  IEEE Transactions on Human-Machine Systems 2026 DOI: 10.1109/THMS.2026.3717977
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• FBSE-FTFCWT-based automated detection of specific language impairment in children using speech signals
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.111008
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• An “Opinion-Unaware” 3-D Image Quality Evaluator Using Correlation Features of Scene Components
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3542137
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• Descriptor: Benchmark Dataset for Animated Multimedia Quality Assessment (BeDAMQA)
  IEEE Data Descriptions 2025 DOI: 10.1109/IEEEDATA.2025.3628283
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• An Unsupervised Stereoscopic Image Quality Prediction Model Using Perceptual and Statistical Features of Scene Attributes
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3619656
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• Design of Low-Complexity Quantized Compressive Sensing Using Measurement Predictive Coding
  IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2025 DOI: 10.1109/TVLSI.2024.3438249
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• Enhancing Surgical Laparoscopic Video Quality Assessment With Integrated Feature Fusion Accounting for Sensor and Transmission Distortions
  IEEE Sensors Letters 2025 DOI: 10.1109/LSENS.2025.3553292
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