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Crop row detection
Crop row detection is the computer-vision task of identifying lines of planted crops in field images, letting agricultural robots determine their position and heading for autonomous navigation.
Cross Border Xpress
Cross Border Xpress (CBX) is a binational pedestrian border crossing in Otay Mesa, San Diego, connecting a terminal directly to Tijuana International Airport through an enclosed skybridge since 2015.
Cross City Tunnel
The Cross City Tunnel, also known as the Sydney Cross City Tunnel, is a pair of toll road tunnels under the Sydney central business district, opened in 2005.
Cross Generating Station
Cross Generating Station is a coal-fired power plant in Cross, South Carolina, owned by Santee Cooper. Its four coal units total about 2,330 MW, making it the state's largest coal-fired station.
Cross Island Pipeline
The Cross Island Pipeline is a 56-inch, 76.5-kilometer onshore natural gas pipeline in Trinidad and Tobago, built by NGC and entering service in December 2005.
Cross passage
A cross passage is a short tunnel connecting two parallel tunnel tubes so people can escape from a tube affected by fire into the adjacent one.
Cross roller guide
A cross roller guide, also called a crossed roller way, is a finite-stroke linear motion component using crossed cylindrical rollers for high rigidity and accuracy.
Cross-attention network
A cross-attention network is a neural architecture that fuses two sequences with attention, queries from one and keys and values from the other, unlike self-attention.
Cross-belt sorter
A cross-belt sorter is an automated sortation machine in which parcels ride a loop of carriers, each discharging items sideways by belt for gentle, precise handling.
Cross-bonding
Cross-bonding is a sheath-bonding method for three-phase systems of single-core power cables in which the metallic sheaths are cross-connected between sections so induced voltages cancel, suppressing circulating currents and limiting sheath voltages.
Cross-correlation
Cross-correlation, also called the cross-correlation function, is a signal-processing operation measuring the similarity of two signals at each lag; its peak marks the shift where they align best.
Cross-coupling control
Cross-coupling control is a multi-axis servo method that reduces contour error by feeding corrections to two or more axes, introduced by Yoram Koren in 1980 for CNC machine tools.
Cross-docking
Cross-docking is a logistics strategy in which freight moves from inbound trucks straight to outbound trucks with little or no storage, shortening delivery times and cutting costs.
Cross-domain few-shot learning
Cross-domain few-shot learning (CD-FSL) is a machine learning setting where a model trained on one domain recognizes new classes in another from few labeled examples.
Cross-embodiment robot data training
Cross-embodiment robot data training pools demonstrations from many different robots to train a single vision-language-action policy that can control robots it was not specifically built for.
Cross-encoder
A cross-encoder is a neural network that jointly processes a query and a candidate document through one transformer encoder to output a relevance score, unlike bi-encoders.
Cross-encoder reranking
Cross-encoder reranking is a second-stage retrieval method in which a transformer scores each query-document pair jointly, reordering the top results from a faster first-stage retriever.
Cross-entropy loss
Cross-entropy loss is the standard loss function for training classifiers in deep learning, typically with a softmax output, and is equivalent to maximum likelihood estimation.
Cross-entropy method
The cross-entropy method is a Monte Carlo technique, introduced by Reuven Rubinstein in 1997, for estimating rare-event probabilities and solving combinatorial and continuous optimization problems.
Cross-flow turbine
The cross-flow turbine, also known as the Banki or Ossberger turbine, is an impulse turbine used mainly in small hydropower plants with low to medium heads.
Cross-gain modulation
Cross-gain modulation (XGM) is a nonlinear optical effect in a semiconductor optical amplifier, used for all-optical wavelength conversion and responsible for crosstalk when amplifying multiple WDM channels.
Cross-Harbour Tunnel
The Cross-Harbour Tunnel is a 1.9 km road tunnel under Victoria Harbour, Hong Kong, linking Hung Hom and Causeway Bay; opened in 1972 as the harbor's first road crossing.
Cross-industry standard process for data mining
The cross-industry standard process for data mining, known as CRISP-DM, is a six-phase process model for data mining projects, developed with European Union funding and published in 2000.
Cross-laminated timber
Cross-laminated timber, or CLT, is an engineered wood product of lumber layers bonded at 90 degrees, developed in Austria in the 1990s to build multi-storey timber buildings.
Cross-layer optimization (communication networks)
Cross-layer optimization is a design method for communication networks that jointly tunes parameters across protocol layers, such as rates, routing, scheduling, and transmit power, instead of optimizing each layer in isolation.
Cross-lingual retrieval
Cross-lingual retrieval is an information retrieval method that ranks documents in one language against a query in another, serving cross-language search, question answering, bitext mining, and multilingual RAG.
Cross-lingual transfer
Cross-lingual transfer is a natural language processing method that applies labeled data, trained models, or representations from high-resource languages to lower-resource target languages, often without parallel data.
Cross-modal contrastive learning
Cross-modal contrastive learning trains paired encoders, such as image and text, to place matched pairs close in a shared embedding space, enabling retrieval and zero-shot classification.
Cross-modal hashing
Cross-modal hashing is a machine learning technique that encodes data from different modalities, such as images and text, into compact binary codes for fast retrieval.
Cross-modal knowledge distillation
Cross-modal knowledge distillation, also called cross-modal distillation, is a machine learning technique where a teacher model trained on one modality, such as images, trains a student model on another, such as audio or depth.