Search
668 articles for “platforms”
-
Toxicological Profiling and Safety Assessment of NASAT 2.0: A Conceptual Framework for Adaptive Nanoparticle Therapy in Rabies
Abstract: Rabies, caused by the highly neurotropic Rabies lyssavirus, remains one of the most enigmatic and universally lethal infectious diseases known to modern medicine. Once clinical symptoms manifest following successful neuroinvasion, the fatality rate approaches absolute certainty (approximately 99.9%), a staggering statistic that has remained largely unchallenged despite massive, concurrent advances in modern virology, critical care medicine, and cellular immunology. Current late-stage therapeutic protocols, most notably the widely debated Milwaukee Protocol, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 · pp. 1–19 Read article
-
Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
-
A Review on Social Distancing ID Card
Abstract: The frequency of fire accidents in homes, industries, and public spaces has increased due to electrical faults, human negligence, and flammable materials. Traditional fire-fighting systems often depend on human presence and manual intervention, which delays the response time. To overcome this limitation, this project presents an Automatic Fire Extinguisher System based on Arduino and IoT technology for real- time detection and suppression of fire. Gas, temperature, and flame sensors are …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
-
Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
-
Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
-
Structural, Optical, Surface and Gas-Sensing Properties of rGO/Sn1-xZnxO₂ Nanocomposites
Abstract: rGO/Sn₁₋ₓZnₓO₂ nanocomposites with x = 0.00–0.75 were synthesized by sol–gel auto-combustion followed by wet impregnation with reduced graphene oxide. The adopted synthesis route enabled homogeneous Zn incorporation into the SnO₂ matrix and uniform distribution of rGO, leading to improved structural integrity and interfacial contact between the two components. XRD confirmed a dominant tetragonal cassiterite SnO₂ structure, while FTIR, FESEM, EDS, UV–visible, and BET analyses verified oxide–rGO coupling, Zn-dependent structural modification, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
From Scripts to Systems: Advances and Architectures in Shell Programming
Abstract: Shell programming has grown far beyond simple command-line scripting to become an essential layer for orchestrating complicated systems and automating modern development pipelines. This article covers recent developments that are changing the function of the shell, including more expressive scripting, better error handling and debugging, and tighter integration with containerization and cloud-native systems. It shows how modern shells and accompanying tools are empowering developers to design scalable, maintainable, and portable …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 29–47 Read article