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1912 articles for “signs” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Audio Signal and Video Signal Plotted with respect to Each Other on a Graph Paper Using X-Y Plotter and Further Audio Signal Listen at Tape Recorder and Video Signal Display at Color TV Monitor
Abstract: The study presents a concept of designing a Plotter circuit that becomes capable to plot two signals (Audio signal as well as Video signal) with respect to each other at a time on the single graph paper. Here, two signals are: one is the audio signal from singer (Mr. Udit Narayan) song (Papa kehte hey) and another Video signal of CAR shape created using C-programming at computer Graphics, these two …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 2, 2022 · pp. 1–9 Read article
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From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 10–21 Read article
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Performance Analysis of Signcrypt and Cryptsign on Joint Signatures
Abstract: Mobile commerce is becoming common nowadays as it looks more convenient for a user to pay through their mobile phones rather than through other electronic payment systems and it reduces frauds in electronic payments. This paper describes the performance analysis of sign then encryption and encryption then sign of the messages on joint signature scheme. Asymmetric encryption/decryption is applied along with signature generation and verification to make it secure and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 1, Issue 2-3, 2011 · pp. 11–15 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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A Rare Case of Signet-Ring Cell Stromal Tumor (SRST) of the Ovary
Abstract: Signet Ring-Cell Stromal Tumor (SRST) of the ovary is a rare nonfunctioning distinctive stromal neoplasm and is characterized by a proliferation of stromal and signet-ring cells. To date, only 11 cases have been reported in English literature. The tumor is characterized by a proliferation of stromal spindle cells in the form of a typical fibroma, admixed with various amounts of stromal cells with a single large vacuole and eccentric nuclei, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 2, 2015 · pp. 4–7 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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A Securing Infrastructure Against Signature-based Assaults Using Karnaugh Detection Systems
Abstract: Cloud computing is one of the efficient business models for offering customers online services. Approximately 81% of businesses worldwide rely on the cloud; however, one of the most pressing issues is cloud security. Malware of several kinds can cause havoc in the clouds. Attacks on the cloud might come from both the inside and the outside. The signature attacks that can occur from outside the cloud server will be the …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 1, 2023 · pp. 1–13 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Review on Offline Signature and Online Signature Recognition and Verification
Abstract: AbstractBiometrics is regularly utilized nowadays with the end goal of distinguishing proof and confirmation of the people and their marks on the planet. Transcribed mark of an individual is a novel recognizable proof work of human which are utilized and acknowledged particularly in the banking and other monetary and lawful exchanges. Now a day, signature verification is required for different frauds. In this paper, an online mark check framework idea …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Algebraic Foundations of Generalized Signal Processing: A Unified Approach Across Domains
Abstract: Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution. The notion is to use algebraic structures to explain signals, systems, and transformations such that ideas may be understood and generalized across many domains, including time, space, graph, or group. A unifying theoretical framework called ASP generalizes classical signal processing …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 33–44 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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Providing security using Signature-Based Broadcast Authentication in Sensor Networks
Abstract: As per recent studies it is feasible to perform public key cryptographic operations on resource-constrained sensor platforms. But the problem is energy consumption introduced by public key operations makes any public key-based protocol an easy target of Denial-of-Service attacks. For example, if digital signature schemes like Elliptic Curve Digital Signature Algorithm are used directly for broadcast authentication without further protection, an attacker can simply broadcast fake messages and force the …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 1, 2014 · pp. 12–16 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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CNN-BILSTM Architectures for Handwritten Signature Verification: Insights and Innovations
Abstract: Verifying handwritten signatures is essential for identity authentication to guard against fraud and guarantee security across a range of platforms. The approaches and developments in handwritten signature verification are examined in this review, with an emphasis on both offline and online techniques. While online methods use dynamic information like stroke order and speed, collected by specialized devices, offline verification uses scanned photographs of signatures. Even if technology is moving toward …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 43–50 Read article
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Study of Signal Processing Using Applications of Fourier Series
Abstract: This essay discusses the use of the Fourier series in the field of signal processing. It will include the results of various tests performed on the variable and the results it produces in the form of graphical diagrams. In order to acquire the right information exchange, we have observed a variety of distinct frequency pattern graphs. Also, the stated graph of filtered signal provides unique pattern that may find application …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 3, 2022 · pp. 35–43 Read article
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Series Resistor Method for Higher Signal-to-Noise Ratio and High Sensitivity in Superconducting Nanowire Single-Photon Detectors
Abstract: A series resistor method has been presented for higher signal-to-noise and high sensitivity in superconducting nanowire single-photon detectors (SNSPD). This method has given a very high useful data yields exceeding 50% while still maintaining pure single-photon operation and wide dynamic range. The SNSPD signal is roughly proportional to the nanowire width, so narrow nanowire have poor signal-to-noise ratio (SNR) at widths from 4–30 nm and fabrication at these length scales …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 2, 2014 · pp. 1–4 Read article
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To Study the VLF Signal for SeismoElectromagnetic Phenomena by Using Wavelet Analysis
Abstract: The research focuses on exploring the potential of Very Low Frequency (VLF) signals as indicators of seismic and geomagnetic activities, particularly in the context of earthquake prediction. It delves into the analysis of VLF data using wavelet-based methodologies and neural networks to detect anomalies preceding seismic events.Observations and analysis of VLF data revealed fluctuations and discrepancies, notably "silent days," occurring several days before seismic events. These irregularities studied through wavelet …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 2, 2023 Read article
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Empowering Communication: A Review of Sign Language Translation Systems Powered by Machine Learning
Abstract: This research study offers a fresh solution to the communication gap between the hearing population and the deaf and hard-of-hearing community: the creation of a machine learning-based sign language translator. By utilizing cutting-edge K Nearest Neighbour (K-NN), the system effectively converts sign language motions into text and vice versa, facilitating smooth communication between sign language users and well-read people. The basis of the project is thorough data collection and careful …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 25–31 Read article