Due to the extensive tree canopy, traditional method of cultivation has had difficulty achieving intended levels productivity. As a result, it became necessary enhance current manufacturing system in addition impressing with its There is tendency for fruit trees be planted more densely or meadow orchards control size, keep desired architecture, and make operations like pruning, pest control, ha...

Pruning branches of apple trees is a labor-intensive task. robots can save manpower and reduce costs. A full map the orchard with collision-free paths, which navigation planning, essential. To improve efficiency tree pruning robot, an improved RRT-Connect algorithm was proposed. Firstly, to address disadvantage randomness in expansion algorithm, goal-biased strategy introduced. Secondly, shorte...

Lightweight service identification models are very important for resource-constrained distribution grid systems. To address the increasingly larger deep learning models, we provide a method lightweight of complex power services based on knowledge distillation and network pruning. Specifically, pruning Taylor expansion is first used to rank importance parameters small-scale delete some parameter...

We propose an enhanced depthrst heuristic search algorithm to face the job shop scheduling problem with operators. This problem extends the classical job shop scheduling problem by considering a limited number of human operators that assist the processing of the operations. We considered total ow time minimization as objective function which makes the problem harder to solve and more interestin...

This paper analyzes issues which appear when supporting pruning operations in tabled LP. A version of the once/1 control predicate tailored for tabled predicates is presented, and an implementation is discussed and evaluated. The use of once/1 with answer-on-demand strategies makes it possible to avoid computing unneeded solutions for problems which can benefit from tabled LP but in which only ...

Algorithms for pruning game trees generally rely on a game being zero-sum, in the case of alpha-beta pruning, or constant-sum, in the case of multi-player pruning algorithms such as speculative pruning. While existing algorithms can prune non-zero-sum games, pruning is much less effective than in constant-sum games. We introduce the idea of leaf-value tables, which store an enumeration of the p...

The search cost of neural architecture (NAS) has been largely reduced by differentiable and weight-sharing methods. Such methods optimize a super-network with all possible edges operations, determine the optimal sub-network discretization, i.e., pruning off operations/edges small weights. However, discretization process performed on either operations or incurs significant inaccuracy thus qualit...

In this article we describe HiFST, a lattice-based decoder for hierarchical phrase-based translation and alignment. The decoder is implemented with standard Weighted Finite-State Transducer (WFST) operations as an alternative to the well-known cube pruning procedure. We find that the use of WFSTs rather than k-best lists requires less pruning in translation search, resulting in fewer search err...

We propose a greedy mixture reduction algorithm which is capable of pruning mixture components as well as merging them based on the Kullback-Leibler divergence (KLD). The algorithm is distinct from the well-known Runnalls’ KLD based method since it is not restricted to merging operations. The capability of pruning (in addition to merging) gives the algorithm the ability of preserving the peaks ...

Search of discrete spaces is important in combinatorial optimization. Such problems arise in artificial intelligence, computer vision, operations research, and other areas. For realistic problems, the search spaces to be processed are usually huge, necessitating long computation times, pruning heuristics, or massively parallel processing. We present an algorithm that reduces the computation tim...