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1929 articles for “sign” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comprehensive Comparative Analysis of Intrusion Detection Systems: Evaluating Signature Based, Anomaly Based, and Hybrid Approaches
Abstract: In the fast-changing world of cybersecurity, Intrusion Detection Systems (IDS) play a vital role in protecting digital resources. This study offers an in-depth comparative analysis to evaluate the efficiency and performance of different IDS solutions. It examines a variety of both commercial and opensource platforms, encompassing signature based, anomaly based, and hybrid models, to assess their effectiveness in identifying and responding to a wide range of cyber threats. Methodologies for …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 39–44 Read article
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Nutrient-Mediated Activation of Cellular Signaling Pathways: Mechanistic Insights into Attenuation of Toxin Induced Inflammation in Food Animals
Abstract: Dietary and environmental toxins remain a persistent challenge in food animal production, where subclinical and clinical inflammation compromises health, productivity, and food safety. Toxin induced inflammation is driven by oxidative stress, mitochondrial dysfunction, and dysregulated immune signaling, resulting in impaired metabolic efficiency and increased disease susceptibility. Recent advances in nutritional science have revealed that nutrients act not only as substrates for growth but also as signaling molecules capable of modulating …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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“Microvita‑Inspired Informational Field Dynamics as a Nonlinear Signal‑Generation Mechanism in Matter–Life–Mind Systems”
Abstract: Recognizing how matter, life, and consciousness relate to one another continues to be among the most essential challenges faced by modern science. Contemporary physical theories successfully describe the behavior of elementary particles and large-scale cosmological structures, yet they do not fully explain the emergence of informational complexity and organized patterns observed in biological and cognitive systems. This study proposes a theoretical framework in which Microvita are interpreted as subtle informational …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Analysis of the Wave Function of Perturbed Ionospheric Waves for Communication Signals
Abstract: Our daily communications and navigational systems rely on the ionospheric conditions, and this sensitive region of the atmosphere is traversed and governed by radio and global positioning system (GPS) signals which broadcast on bouncing off the ionosphere to reach their destinations. All the communication signals can be interfered with modifications because of the changes in the ionosphere's density and its composition so that large percentage of the free electrons in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 3, 2024 · pp. 13–20 Read article
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Ionospheric Disturbances and Communication Signal anomalies due to eruption of Solar flare Activity
Abstract: Solar flares tend to disrupt the radio communication systems and modulate active radio wave frequencies, particularly the ones that have utility in High Frequency (HF) radio signals and transceiver signals because they are the ones who find utility in radio communications systems. Solar flares generate electromagnetic waves which interact with the earth’s atmospheric medium and travel through the ionospheric region. These electromagnetic waves modulate radio frequency communication signals. This modulation …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 7–14 Read article
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Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Arabidopsis thaliana. (L.) Heynh Multifunctional Sensor Proteins and Signaling Networks Plant Photoreceptors
Abstract: Light is a crucial environmental cue for the growth and development of plants as well as the production of photosynthetic energy. In order to recognize and process information from incoming light, plants employ sophisticated mechanisms. With the model plant Arabidopsis thaliana, five different types of photoreceptors have been found. (L.) Heynh Photoreceptors play a specialized and/or recurring role in fine-tuning many aspects of the plant's life cycle. Unlike mobile animals, …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 08–24 Read article
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Sign Language-enabled Offline IP-based Video Call Intercom System for the Deaf
Abstract: Individuals who are deaf or hard of hearing frequently encounter major communication challenges on digital platforms because sign language support is often insufficient. This study presents a real-time, internet-independent sign language-to-text translation system embedded in an offline IP-based video intercom, designed to facilitate seamless communication. Leveraging TensorFlow’s Convolutional Neural Network (CNN) for classification and MediaPipe for hand tracking, the system achieved a training accuracy of 94.24% and a validation accuracy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 53–66 Read article
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Diet-Gene Interactions in Farm Animals: Molecular Dynamics, Gene Expressions, Signalling Pathways and Precision Nutrition for Sustainable Productivity
Abstract: Diet-gene interactions represent a central mechanism through which nutrition influences growth, health, and productivity in farm animals. Recent advances in molecular biology and genetics have revealed that nutrients act not only as metabolic substrates but also as signalling molecules capable of modulating gene expression, cellular pathways, and epigenetic regulation. This review synthesizes current knowledge on the molecular dynamics of nutrient utilization in farm animals, with emphasis on nutrigenomic responses, nutrient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Synthesis of Brassinosteroid with Signaling and Response to Abiotic Stress: Review
Abstract: Brassinosteroids (BRs) are a group of plant steroid hormones with multiple roles in plant growth, development, and responses to stresses and signaling functions to promote cell expansion and cell division and plays a role in etiolation and reproduction. The entire synthetic pathway of sterol biosynthesis is brassinolide (BL) from the general campesterol synthesis pathway in Arabidopsis. Campesterol converts to BL in two different ways campesterol dependent or campesterol independent pathway. …
Published in Research & Reviews : Journal of Botany Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Spectral Mapping and Tracking Error of MBOC signal and Wavelet based GNSS receiver
Abstract: This research paper delves into the historical evolution and contemporary state of the art in navigation technologies, emphasizing the paramount importance of reliable positioning systems. Tracing the journey from ancient primitive methods to the present-day Global Navigation Satellite Systems (GNSS), with a focus on the Global Positioning System (GPS), the paper explores the diverse instruments and methods developed by civilizations throughout history to determine location and navigate effectively. The main …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation Read article
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A Study on Remote Online Notarization and E-signatures
Abstract: The e-signatures and remote online notarization application allows notary attorneys and anyone else who needs to certify electronic documents to use secure electronic notarization. E-notary software provides first-rate security and convenience method for both businesses and consumers who deal with notarizations on a regular basis. The software also allows for transparent access to documents that are waiting to be countersigned, as well as to those who have been granted access …
Published in Journal of Multimedia Technology & Recent Advancements Read article
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Long non-coded RNA, cancer, immune cells, tumor micro-environment, immuno-oncology, immune escape, cancer-immune cycle, lncRNA signature
Abstract: Developing data from current research reveals fresh insights into the roles played by long non-coding RNAs (lncRNAs) in immuno-oncology. Long non-coding RNAs (lncRNAs) not only influence the aggressiveness of cancer cells but also play a crucial role in controlling different immune cells and stromal cells, which in turn changes the tumor micro-environment and impacts anti-tumor immunity. The significance of predictive indicators derived from long non-coding RNAs (lncRNAs) is underscored by …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 7–26 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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A Study on Recent Trends in Chemical Sensors for Detecting Toxic Materials
Abstract: Poisonous materials, such as mutagenic, carcinogenic, and poisonous compounds, are widely produced as a result of industrial development. Such materials continue to be hazardous to human health despite stringent management and control procedures. As a result, practical chemical sensors—such as optical, electrochemical, nanomaterial-based, and biological system-based sensors—are needed for the monitoring of dangerous chemicals. For the detection of harmful compounds, numerous new and existing chemical sensors are being created, along …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 26–35 Read article
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Advanced Polymer Nanocomposite EEG Electrodes for Enhanced Epileptic Seizure Detection: A Comparative Analysis
Abstract: Electroencephalography (EEG) has been very important in the detection of epileptic seizures so as to enable successful diagnosis, surveillance and therapy of epilepsy. Nevertheless, EEG electrodes based on traditional metals may be limited due to high or high contact impedance, lack of biocompatibility, discomfort to patients and prone to motion artifacts, which interfere with signal quality and diagnostic adequacy. The recent progress in material science has resulted in coming up …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 Read article