Results 51 to 60 of about 90,690 (297)
Prediksi Nilai Cryptocurrency Dengan Metode Bi-LSTM dan LSTM
Semakin pesatnya perkembangan teknologi saat ini, dapat memudahkan seluruh kegiatan manusia, sehingga mengakibatkan seluruh aspek tidak bisa lepas dari teknologi tanpa terkecuali bidang keuangan. Dengan berkembangnya teknologi diiringi juga dengan dikenalnya berbagai instrument investasi.
Nyoman Gunantara +2 more
openaire +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Escalating insecticide resistance threatens the efficacy of LLINs, undermining malaria control in Africa. We conducted the first experimental hut trials in Uganda using highly resistant free-flying wild Anopheles mosquitoes and F2 hybrids of FANG and ...
Ambrose Oruni +8 more
doaj +1 more source
Jasmonates—the Master Regulator of Rice Development, Adaptation and Defense
Rice is one of the most important food crops worldwide, as well as the model plant in molecular studies on the cereals group. Many different biotic and abiotic agents often limit rice production and threaten food security.
Hieu Trang Nguyen +4 more
doaj +1 more source
LSTM-in-LSTM for generating long descriptions of images [PDF]
In this paper, we propose an approach for generating rich fine-grained textual descriptions of images. In particular, we use an LSTM-in-LSTM (long short-term memory) architecture, which consists of an inner LSTM and an outer LSTM. The inner LSTM effectively encodes the long-range implicit contextual interaction between visual cues (i.e., the ...
Song, Jun +4 more
openaire +1 more source
Broadband All‐Optical Memtransistor Based on Organic Cocrystals for Noise‐Robust Motion Recognition
This work presents an all‐optical synaptic transistor using DTT‐TCNQ organic charge transfer cocrystals, achieving broadband bidirectional modulation (395–808 nm) with highly linear synaptic plasticity (nonlinearity coefficients αp = 0.00191, αd = 0.00305).
Zhaohui Cai +8 more
wiley +1 more source
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
Background Low-dose primaquine is a key candidate for use in malaria transmission reduction and elimination campaigns such as mass drug administration (MDA).
Daniel Joseph Hayes +3 more
doaj +1 more source
Background RNAseq is nowadays the method of choice for transcriptome analysis. In the last decades, a high number of statistical methods, and associated bioinformatics tools, for RNAseq analysis were developed. More recently, statistical studies realised
Ilana Lambert +3 more
doaj +1 more source

