Results 181 to 190 of about 3,636 (254)

A Novel Area Efficient and High‐Speed BCD Adder Using CFA and Multiplexer in Quantum‐Dot Cellular Automata

IEEJ Transactions on Electrical and Electronic Engineering, Volume 21, Issue 2, Page 226-234, February 2026.
This paper proposes a new enhanced Single Digit BCD Adder (SDBA) to perform decimal addition optimally. Quantum‐dot Cellular Automata (QCA) will construct nanostructured arithmetic circuits for future computing. One of the vital structures in arithmetic structures is the Binary Coded Decimal (BCD)/Decimal Adder. The existing Decimal Adders require many
Nagarjuna Telagam, D. Ajitha, S. M. Prabin, B. Srikanth, Nehru Kandasamy   +4 more
wiley   +1 more source

Exploring fluoropolymers for fabrication of femtoliter chamber arrays used in digital bioanalysis. [PDF]

Sci Rep
Ando J, Murai K, Mori M, Michiyuki T, Iida T, Makino A, Shinoda H, Watanabe R.   +7 more
europepmc   +1 more source

Toward Systematic Modeling of Volcano Deformation Sources Using Automatically‐Generated InSAR Products

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 2, February 2026.
Abstract Volcano deformation measured through Interferometric Synthetic Aperture Radar (InSAR) is ideal for volcano monitoring in many regions due to its global coverage, characteristic spatio‐temporal patterns, and modeling insights. Routinely acquired and processed Sentinel‐1 InSAR datacubes provide the first opportunity to systematically catalog ...
B. Ireland, J. Biggs, N. Anantrasirichai, F. Albino, E. W. Dualeh   +4 more
wiley   +1 more source

On the design of deep learning-based control algorithms for visually guided UAVs engaged in power tower inspection tasks. [PDF]

Front Robot AI
Maitre G, Martinot D, Tuci E.
europepmc   +1 more source

Tackling Small Lunar Impact Crater Classification: A Novel Augmented Data Set and Enhanced Deep Learning Framework

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Small lunar impact craters, exhibiting diverse morphological characteristics, represent the most abundant geological features on the Moon's surface. These structures serve as crucial indicators for understanding regolith thickness distribution and surface modification processes.
Junjiao Li, Jiao Wang, Junhong Jia, Weiming Cheng, Dijun Guo   +4 more
wiley   +1 more source

AS-YOLO: Enhanced YOLO Using Ghost Bottleneck and Global Attention Mechanism for Apple Stem Segmentation. [PDF]

Sensors (Basel)
Baek NR, Lee Y, Noh DH, Lee HM, Cho SW.
europepmc   +1 more source

Quantitative Characterization of Gravel Bed Structures Using 2DSSFs and Machine Learning‐Based Surrogate Surface Generation

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Accurate characterization of gravel structures is essential for understanding riverbed roughness, flow resistance, and sediment transport. However, quantifying the definitive characteristics of these gravel structures remains challenging due to the inherent complexity of particle spatial arrangement. This study presents an improved statistical
Jie Qin, Teng Wu
wiley   +1 more source

FMLD: A Vertical Federated Learning Framework for Privacy‐Preserving Multimodal Landslide Detection

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Landslides are among the most severe global geohazards posing a significant threat to human life and infrastructure. To support landslide detection and prediction, various geohazard monitoring approaches have been developed, such as optical remote sensing imagery, light detection and ranging, and ground‐based sensors, generating vast volumes ...
Xiaochuan Tang, Zhong Lu, Xuanmei Fan, Xiaochuang Yan, Huailiang Li, Shui‐Hua Jiang, Sansar Raj Meena, Dongfen Li, Kushanav Bhuyan, Alessandro Novellino, Hongjun Li, Filippo Catani   +11 more
wiley   +1 more source

SYNOSIS: Image Synthesis Pipeline for Machine Vision in Metal Surface Inspection. [PDF]

Sensors (Basel)
Fulir J, Jeziorski N, Bosnar L, Hagen H, Redenbach C, Herrfurth T, Trost M, Gischkat T, Gospodnetić P.   +8 more
europepmc   +1 more source

Towards scalable insect monitoring: Ultra‐lightweight CNNs as on‐device triggers for insect camera traps

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 357-370, February 2026.
Abstract Camera traps, combined with AI, have emerged to achieve automated, scalable biodiversity monitoring. However, passive infrared (PIR) sensors that typically trigger camera traps are poorly suited for detecting small, fast‐moving ectotherms such as insects. Insects comprise over half of all animal species and are key components of ecosystems and
Ross J. Gardiner, Sareh Rowlands, Benno I. Simmons   +2 more
wiley   +1 more source