Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Gait-Dependent Control Strategies and Wave Propagation Mechanisms of Fish in Complex Flows
Complex unsteady flow environments present substantial challenges to the stability and energy efficiency of autonomous underwater vehicles (AUVs). While fish can utilize mechanisms like the Kármán gait to conserve energy, a quantitative understand...
A Novel Cooperative Localization Algorithm Based on LSTM and Factor Graph for AUV Swarms
To address localization error accumulation in autonomous underwater vehicle (AUV) swarms due to underwater acoustic communication interruptions, this paper proposes a cooperative localization method that integrates Long Short-Term Memory (LSTM) pr...
Depth control of pipeline inspection AUV based on fuzzy sliding mode control
Addressing the depth control challenge of Autonomous Underwater Vehicles (AUVs) for submarine pipeline inspection during the entire process from release from the surface mother ship to the seabed landing point, this paper proposes a depth control ...
Miniaturized wireless bioelectronics for electrically driven biohybrid robots
Abstract Although biohybrid robots offer the potential for soft, adaptive actuation by harnessing living muscle, practical operation in cell culture environments is often limited by the requirement of immersed leads or cumbersome stimulation equip...
Artificial Intelligence in the Sphere of Security
Nowadays, artificial intelligence is used in various spheres of life, including state operations. Security is one of such domains. New technologies should be used universally across the entire sphere of security. This also applies to artificial in...
A Comprehensive Extended Review of Advanced Metallic Alloys for Aerospace Structures: Processing, Properties, Recent Advances, and Future Perspectives
The development of advanced metallic alloys for aerospace applications is continuously progressing to meet new requirements for lightweight construction, energy efficiency, high-temperature operation, durability, and sustainability. The state-of-t...
Pathway-Based Review of LCA Studies on Hydrogen, Methane-Based Fuels, Methanol and Ethanol for Internal Combustion Engines
The role of internal combustion engines in future transport systems is expected to remain central, particularly in hard-to-abate sectors such as heavy-duty road transport and maritime applications. However, their decarbonization requires the adopt...
Multiagent Dynamic Task Allocation Based on Graph Neural Reinforcement Learning Algorithm
Abstract Multi-agent dynamic task allocation (MADTA) for UAV swarm and autonomous systems remains a formidable challenge in highly uncertain and stochastic environments, where conventional reinforcement learning methods struggle with variable inpu...
Solving the 3D UAV Path Planning Problem Using an Improved Multi-Leader Multi-Objective Whale Optimization Algorithm
UAV path planning in complex static 3D environments involves multiple conflicting objectives and intricate constraints. However, when applied to highly constrained path planning tasks, MOWOA often suffers from a low proportion of feasible solution...
Exploring the Impact and Opportunities of Carbon Pricing in the Transport Sector in CAREC Countries
This report explains how countries in the Central Asia Regional Economic Cooperation (CAREC) region can use carbon pricing strategies to help tackle rising transport-related emissions, drive innovation, and generate public revenues.
Comment on essd-2026-300
Abstract. Typhoon-induced ocean responses are not only a key mechanism for regulating global heat transport and maintaining the energy balance of the climate system, but also the core physical processes underlying the intense exchange of matter an...
High-resolution photogrammetry reveals links between reef structural complexity, fish communities, and human influence in a remote Pacific atoll
Coral reef degradation is accelerating globally, yet monitoring efforts remain uneven in scale, accessibility, and resolution. Visual surveys of percent live coral cover offer low-cost but coarse assessments of reef health, while more advanced too...
Bayesian multimodal fusion for seafloor habitat mapping with autonomous underwater vehicles
Autonomous Underwater Vehicles collect rich multimodal remote sensing data, but robust fusion and classification of heterogeneous sensor streams remains challenging due to noise and habitat variability. We propose a Bayesian multimodal neural netw...
Study on the Intramolecular H-Migration Kinetics of Strained Polycyclic Hydrocarbons with Distinct Cis and Trans Configurations
High-energy-density fuels (HEDFs) have garnered considerable interest in aerospace fields, primarily due to their superior density and volumetric net heat of combustion (NHOC) compared with traditional petroleum-based fuels. Strained polycyclic hy...
Computational intelligence for road pavement condition assessment: a deep learning perspective
Abstract Pavement defects such as cracks and potholes compromise road safety and demand timely maintenance. Traditional manual inspection is slow and exposes workers to safety risks, whereas automated systems offer a promising alternative. This su...
A phase-equilibrium outranking method with hysteresis-banded thresholds for robust multi-criteria decision making: PEOM
Real-world decisions often combine non-compensatory "must-meet" constraints with compensatory trade-offs. Classical Multi-Criteria Decision Making (MCDM) methods (e.g., TOPSIS, VIKOR, PROMETHEE) are mainly compensatory and may rank alternatives hi...
Body-Axis Reorientation in Regenerating Hydra under Geometric Confinement
Defining a body axis is a central aspect of animal morphogenesis. During regeneration from excised Hydra tissue pieces, the newly formed body axis typically preserves the orientation of the parent body axis and aligns with the inherited nematic or...
Gait-dependent control strategies and wave propagation mechanisms of fish in complex flows
Complex unsteady flow environments present substantial challenges to the stability and energy efficiency of autonomous underwater vehicles (AUVs). While fish can utilize mechanisms like the Kármán gait (KG) to conserve energy, a quantitative under...
Multi-feature fusion monthly runoff prediction under different climate conditions using APO-optimized CNN-BiGRU-Self-Attention
Monthly runoff sequences exhibit highly nonlinear and nonstationary characteristics that impede traditional single models from capturing long-term dependencies and abrupt changes. This study proposes a hybrid deep learning model, APO-CNN-BiGRU-Sel...
Allocation Integrated Sliding Mode Control for Heading Autonomous Underwater Vehicles with Varying Speeds
This paper addresses the challenge of robust heading control for Autonomous Underwater Vehicles (AUVs) operating under variable speed conditions, subject to system nonlinearities, parametric uncertainties, and actuator constraints. We propose a hi...
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