Results 151 to 160 of about 44,232 (283)

Leveraging Machine Learning to Predict Food Waste Quantity: Focusing on Military Dining Facilities as Large‐Scale Food Service Operations

Journal of Forecasting, EarlyView.
ABSTRACT Food waste reveals inefficiencies in resource use and contributes significantly to environmental pollution. In the United States, food waste accounts for the majority of total waste, with more than 50 million tons generated annually. In military units that operate large‐scale institutional food‐service facilities and generate significant food ...
YongSun Kim, Hyun Shik Yoon
wiley   +1 more source

EQARO-ECS: Efficient Quantum ARO-Based Edge Computing and SDN Routing Protocol for IoT Communication to Avoid Desertification. [PDF]

Sensors (Basel)
Al-Janabi TA, Al-Raweshidy HS, Zouri M.
europepmc   +1 more source

Inter-tier Interference Suppression in Heterogeneous Cloud Radio Access Networks [PDF]

, 2016
Mugen Peng, Hongyu Xiang, Yuanyuan Cheng, Yan Shi, H. Vincent Poor   +4 more
openalex   +1 more source

Embedded AI‐Enabled Wearable Piezoelectric Sensing Cluster for Real‐Time Multijoint Motion Recognition

Interdisciplinary Materials, EarlyView.
The distributed multijoint motion recognition cluster based on polyvinylidene fluoride membranes with high piezoelectric properties adopted a one‐master‐multiple‐slaves architecture and multipoint wireless collaboration to synchronously recognize motions of the wrist, elbow, and shoulder.
Zhongkun Wang, Jiagui Li, Puen Zhou, Yuanzheng Zhang, Yuhao Chen, Yonghui Wu, Yaju Zhang, Yong Qin, Haiwu Zheng   +8 more
wiley   +1 more source

QRGEC: quantum reinforcement learning with golden jackal optimization for resilient edge cloud coordination in internet computing. [PDF]

Sci Rep
Lella KK, Krishna MSR.
europepmc   +1 more source

Adaptive beamforming and user association in heterogeneous cloud radio access networks: A mobility-aware performance-cost trade-off

, 2019
Duc Thang Ha, Lila Boukhatem, Megumi Kaneko, Nhan Nguyen‐Thanh, Steven Martin   +4 more
openalex   +2 more sources

Smart Sensor‐Integrated Lysimeter System for Affordable on‐Farm Crop Water Monitoring and Irrigation Management

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate monitoring of crop water use is critical for precision irrigation, yet conventional lysimeter systems remain too costly and complex for widespread adoption. This study presents the development and field validation of a low‐cost, information and communication technology (ICT)‐enabled weighing lysimeter system that integrates load cells,
Stephen Okwang, Younggu Her, Taeil Jang
wiley   +1 more source

Neurophysiological correlates of visually induced motion sickness severity: A scoping review of the impact of experimental settings on EEG spectral power

Journal of Intelligent Medicine, EarlyView.
This review synthesizes EEG findings from 28 VIMS studies across four inducing scenarios (abstract cues, virtual videos, vehicle driving, and game scenes) and two display types (HMD and monitor). While Delta/Theta enhancement consistently reflects sensory conflict, Alpha activity shows context dependency: predominantly increasing during passive viewing
Yanru Bai, Zhipeng Yang, Haoran Jiang, Jiedong Nan, Chunyang Hong, Guangjian Ni   +5 more
wiley   +1 more source

IRS-assisted D2D system resource allocation and RCG beamforming optimization in H-CRAN

Dianxin kexue
Intelligent reflecting surface (IRS)-assisted device-to-device (D2D) communications in heterogeneous cloud radio access network (H-CRAN) were investigated as research background.
XU Xiaorong, XUE Jishou, WU Jun, BAO Jianrong   +3 more
doaj   +2 more sources

Projected 21st Century Changes in Precipitation and Temperature Over Italy Using CMIP6 CMCC‐CM2‐SR5 Model and COSMO‐CLM Dynamical Downscaling

International Journal of Climatology, EarlyView.
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano, Mario Raffa, Angelo Campanale, Marianna Adinolfi, Gabriella Ceci, Paola Mercogliano   +5 more
wiley   +1 more source