Results 211 to 220 of about 124,979 (266)

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Prospective laparoscopic assessment of sigmoid elongation: association with constipation and abdominal pain. [PDF]

Langenbecks Arch Surg
Driouch J, Abdulqader MA, Sajid S, Kapellas N, Riyal Q, Senkal M.   +5 more
europepmc   +1 more source

Sigmoid and sigmoid rectum cancer.

Revista medica de Chile, 2010
openaire   +1 more source

From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives

Advanced Intelligent Systems, EarlyView.
Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith, Atsushi Masumori, Norihiro Maruyama, Takahide Yoshida, Takashi Ikegami   +4 more
wiley   +1 more source

Ingested chicken bone causing unilateral hydroureteronephrosis and recurrent sepsis. [PDF]

Radiol Case Rep
Doherty S, McGarry E, Treacy MG, Hunter J, O'Brien O, Murphy M, Mason C, Bolster F.   +7 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Recurrent Sigmoid Volvulus in a Young Female With Ulcerative Colitis: A Case Report and Review of the Literature. [PDF]

Cureus
Huang HM, Lai YR, Yeh YC, Huang CW.
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Tailored Vascular Approach in Robot-Assisted Nephroureterectomy for a Horseshoe Kidney: A Case Report. [PDF]

IJU Case Rep
Kambe T, Shimizu Y, Yoshida H, Hayashi K, Hatano S, Okada T, Mitsumori K, Onishi H.   +7 more
europepmc   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source