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Review Article
Security Vulnerabilities in Proxy Signature Schemes: Cryptanalysis, Design Weaknesses, and Open Challenges
Proxy signature schemes allow an original signer to delegate signing authority to a proxy signer, supporting flexible authentication in distributed and resource-constrained environments such as cloud computing, blockchain, and Internet of Things (IoT) networks. Although many constructions have been...
Research Article
Event-Triggered Attitude Control of Underactuated Spacecraft
This paper presents an event-triggered attitude control method for an underactuated spacecraft with only two bounded body-axis torques. Gyroscopic coupling supplies the missing control action: two periodic angular-rate references generate the average gyroscopic rate product required to regulate the...
Research Article
Paying for Trust at the Edge: Secure, Lightweight, Deadline-Aware Named Data Networking for Edge-Cloud Compute Orchestration
Edge nodes are among the most resource-constrained components of computing infrastructure, yet security verification competes directly with application execution for limited compute resources. In Named Data Networking (NDN), each retrieved object carries a producer signature whose verification consu...
Review Article
Machine Learning and Deep Learning Approaches in Thermal Remote Sensing: A Systematic Review (2018–2026)
This systematic review, conducted in accordance with the PRISMA 2020 guidelines, maps the applications of machine learning (ML) and deep learning (DL) within thermal remote sensing (RS) from January 2018 to March 2026. Despite significant growth in this field driven by high-resolution satellite miss...
Review Article
Machine Learning and Deep Learning in Agriculture: A PRISMA Systematic Review of Architectures, Applications, and Open Science Practices (2019–2026)
Agriculture faces growing pressures from food insecurity, climate change, and resource scarcity, increasing demand for scalable analytical tools. This PRISMA 2020-compliant systematic review synthesised 582 peer-reviewed studies on machine learning (ML) and deep learning (DL) in agriculture publishe...
Research Article
From the Formalism of the Delayed Mackey-Glass Equation and Its Application to Leukemia Growth
This study develops a mathematically explicit and computationally reproducible framework based on the delayed Mackey--Glass equation for leukemia-related population dynamics. The classical model is formulated from a population balance law, delayed maturation, and saturating nonlinear feedback, and i...
Review Article
Lightweight YOLO Object Detection Algorithms for Vision-Based Robotic Arms: A Review
To address the requirements of vision-based robotic manipulators for object detection accuracy, real-time performance, and lightweight deployment, this paper reviews lightweight You Only Look Once (YOLO) object detection techniques and their applications in robotic vision. First, the main techniques...
Research Article
Crystal-Field Analysis and Temperature-Dependent Luminescence Mechanism of Broadband Near-Infrared Na$_3$Al$_2$Li$_3$F$_{12}$:Cr$^{3+}$ Phosphors
Garnet-structured fluoride phosphors are attractive for phosphor-converted near-infrared light-emitting diodes (NIR pc-LEDs) owing to their broadband emission and thermal stability. Herein, pure-phase Na$_3$Al$_{2-x}$Cr$_x$Li$_3$F$_{12}$ (x = 0--0.16; NALF:Cr$^{3+}$) phosphors were synthesized hydro...
Review Article
Federated Fine-Tuning of Large Language Models on Resource-Constrained Clients: Technical Approaches, Resource Costs, and Applicability
Federated fine-tuning adapts language models to distributed data and is widely adopted as a privacy-preserving alternative to centralized training, yet constrained clients must still store model weights and training states, execute updates, and communicate with a server. This review examines four co...
Research Article
Formalism of a Treatment-Modulated Logistic Map for Breast Tumor Growth: Mathematical Formulation, Nonlinear Dynamics, and Clinically Inspired Simulation
This study develops a treatment-modulated discrete framework for breast-tumor dynamics, emphasizing dimensional consistency, treatment dependence, and the distinction between scalar tumor burden and spatial tumor-density fields. Starting from the dimensional logistic growth law, treatment is introdu...