Results 131 to 140 of about 12,867 (247)

Steganography with Large Language Models

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Large language model (LLM) steganography generates fluent cover text that encodes a secret message, with the secret key often given as a natural language prompt or seed.
Alexander V Mantzaris, Wissam Ghantous, Haley Stinebrickner, Samira Jahangiri, Stephen Webinga   +4 more
doaj  

An end-to-end convolutional neural network for secure image transmission via joint encryption and steganography. [PDF]

Sci Rep
Iqbal A, Sattar H, Shafi UF, Mahmood A, Waseem SS, Hassan SR, Hassan AS.   +6 more
europepmc   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Reversible data hiding in encrypted images using LWE-based secret sharing. [PDF]

Sci Rep
Saeidi Z, Mirzakuchaki S.
europepmc   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Reversible data hiding for 3D mesh models based on spatial polygon prediction and dual sorting. [PDF]

Sci Rep
Wang Q, Zhang Q, Song X, Liu Y.
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Experimentally Validated Quantum-Secure Federated Learning over a Multi-user Quantum Network. [PDF]

Research (Wash D C)
Liu ZP, Cao XY, Liu HW, Sun XR, Bao Y, Shen JY, Lu YS, Yin HL, Chen ZB.   +8 more
europepmc   +1 more source

Performance assessment of a potential underground thermal storage facility: Case study of the closed mine Prosper‐Haniel in the Ruhr coal mining area in Germany

Deep Underground Science and Engineering, EarlyView.
This study demonstrates the feasibility of an underground closed‐loop thermal storage facility at a post‐mining site, intended for seasonal heat energy storage. Its principal design shows water flow directions in winter and summer (1, 2), heat pumps (3), an upper water reservoir (4), and connecting pipes (5).
Dmytro Rudakov, Oleksandr Inkin
wiley   +1 more source

Optimization-driven steganographic system based on fused maps and blowfish encryption. [PDF]

Sci Rep
Aljughaiman A, Alrawashdeh R.
europepmc   +1 more source