Drug discovery is crucial for identifying candidate drugs various diseases.However, its low success rate often results in a scarcity of annotations, posing few-shot learning problem. Existing methods primarily focus on single-scale features, overlooking the hierarchical molecular structures that determine different properties. To address these issues, we introduce Universal Matching Networks (UniMatch), dual matching framework integrates explicit with implicit task-level via meta-learning,...

<title>Abstract</title> Next Point-of-Interest (POI) recommendation predicts a user’s next likely destination based on historical check-ins, enhancing trip planning and location discovery. Current models, including sequence-based graph-based approaches, often lack adaptability to temporal variations in relationships treat graph construction as an isolated pre-training step, limiting their effectiveness. To address these challenges, we propose the Time-aware Graph Flashback Network (TGFN),...

Few-shot learning aims to learn a model that can be readily adapted new unseen classes (concepts) by accessing one or few examples. Despite the successful progress, most of few-shot approaches, concentrating on either global local characteristics examples, still suffer from weak generalization abilities. Inspired inverted pyramid theory, address this problem, we propose an network (IPN) intimates human's coarse-to-fine cognition paradigm. The proposed IPN consists two consecutive stages,...

Digital transformation provides an unprecedented opportunity for the exploration, integration, and utilization of scientific technological resources (STR). In wave digital transformation, countries around world have set up their own STR sharing platforms, which can match a variety services needs in lower cost more convenient way, create interaction between suppliers demanders. These platforms provide possibilities to realize economy field innovation. However, it is also necessary design...

In this paper, a real-time path planning approach in consideration of threats information sharing is proposed for multiple unmanned aerial vehicles (UAVs) with predetermined rendezvous hostile environment. This obtains turn angles two-dimensional (2-D) rough terrain by fuzzy reasoning feedback on rule base. Virtual subgoal defined and applied to make full use the avoid iterations previous trajectory. The classified into three behaviors: path-searching (PS) behavior regional range,...

This paper presents a novel on-line path planner for multiple UAVs based on the distributed planning scheme and bi-level programming technique, in presence of diverse surface-to-air missiles (SAMs) deployed within large operational spaces. With formal problem formulation, offers hierarchical architecture that not only provides global convergence optimized solution UAV team, but also guarantees safety navigability each according to their respective requirements. Constraints with respect...

In order to carry out the ground integration and flight simulation experiment of environment control system (ECS) in unmanned aircraft, hardware software hardware-in-the-loop (HIL) real-time platform based on VxWorks was developed. this paper, structure function a HIL dynamic distributed architecture for airborne ECS is presented, main related communication interface matching with has also been independently Then, can satisfy all sorts simulation, its effects are distinct, image intuitive....

Appropriate water injection volume is the most basic parameter required to maintain stable formation pressure and ensure development effect of flooding in oilfields. However, determination appropriate has always been a major problem oilfield management. Based on Grey relational algorithm, this paper determines optimal connected injection-production well group through study dynamic relationship between oil wells. To specifically predict injection, Sparrow search algorithm optimisation model...

A single airport ground-holding problem (GHP) model based on discrete-event system (DES) is presented in this paper. According to the various characteristics of capacity, deterministic and stochastic cases as well corresponding algorithms are discussed. Parameters such runway landing service time (RLST), cost ratio between airborne delay ground delay, analyzed detail, complexity algorithm compared with conventional algorithms. Simulation experimental results demonstrate effectiveness

Intelligent manufacturing is an important means of developing strategic emerging industries and accelerating the formation a modern industrial system. Currently, many universities are upgrading their related majors or offering new such as Manufacturing Engineering to provide talent for field intelligent manufacturing. Due lack integrated resources between industry education in manufacturing, it difficult strengthen correlation professional curriculum system when opening majors. With...

In the drug discovery process, low success rate of candidate screening often leads to insufficient labeled data, causing few-shot learning problem in molecular property prediction. Existing methods for prediction overlook sample selection bias, which arises from non-random chemical experiments. This bias data representativeness suboptimal performance. To overcome this challenge, we present a novel method named contextual representation anchor Network (CRA), where an refers cluster center...

IIM CAS is now working on simulation platform for driverless vehicle to test some functions of vehicle. The overall architecture this system presented and the key components are illustrated briefly. In virtual scene, its intelligent behavior emphasized traffic environment framework given out. light difference creditability analysis method between pure models Vehicle hardware-in-the-loop simulation, additional two critical points replenished research basis make it suitable simulation. Its...

The exploration of ionosphere is significant for satellite communication and navigation etc. Spaceborne HF-SAR utilized the observation topside ionosphere, in order to acquire higher spatial resolution, global scale ionospheric electron density map irregularities distribution. operation mode system parameters are introduced. echo signal spaceborne has long synthetic aperture time, large range migration, small depth focus due low carrier frequency. Considering these characteristics HF-SAR, a...

The development of Un-manned Aerial Vehicles (UAV) is analyzed, and an integrated MEMS-SINS /GPS/ Pressure Altimeter / Magnetic Compass presented as airborne equipment for UAV. In this low cost navigation system, the position velocity precision can be ensured due to GPS, pitch roll accelerometers. heading's observability very weak, in order eliminate divergent trend, method that dead reckoning revises heading SINS put forward. simulation shows effectively trend heading.

Topside ionospheric sounding is significant for scientific research, especially on forecasting of some astronomical disasters. Current topside radars have low range resolution tens kilometers, but nearly no azimuth resolution. The concept synthetic aperture radar (SAR) introduced to improving the operation mode based space-borne high frequency SAR (HF-SAR) presented in this paper. Theoretical analysis indicates that can be improved meters. satellite orbit parameters are selected, and main...