Results 111 to 120 of about 194,259 (259)

Resource reallocation across successive systemic innovations: How Rolls‐Royce shaped the evolution of the turbojet, turboprop, and turbofan

Strategic Management Journal, EarlyView.
Abstract Research Summary Despite the importance of resource reallocation in shaping a variety of strategic outcomes, strategy scholars have paid only limited attention to the processes by which firms reallocate their resources across successive systemic innovations.
Gino Cattani, Mariano Mastrogiorgio, Giuseppe Carignani   +2 more
wiley   +1 more source

Shaping expectations, losing flexibility: A study of CEO promises as strategic communication tools

Strategic Management Journal, EarlyView.
Abstract Research Summary CEO promises are powerful but understudied communication tools. We develop a dual‐mechanism framework theorizing that while CEO promises elevate stakeholder expectations, they simultaneously constrain strategic flexibility. We argue that CEO promise‐making is shaped by two competing pressures: making more promises when the ...
Majid Majzoubi, Alex Murray, William J. Mayew   +2 more
wiley   +1 more source

Limited Feedback Designs for Machine-Type Communications Exploiting User Cooperation

IEEE Access, 2019
Multiuser multiple-input-multiple-output (MIMO) systems are a prime candidate for use in massive connection density in machine-type communication (MTC) networks.
Jiho Song, Byungju Lee, Song Noh, Jong-Ho Lee   +3 more
doaj   +1 more source

Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC [PDF]

, 2023
Xue Ye, An Liu, Yang Li, Qingjiang Shi, Vincent K. N. Lau   +4 more
openalex   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Embedded Interactions and Selective Disclosure: Network Effects on Conversations aboard Skylab

Symbolic Interaction, EarlyView.
How do absent others influence our interactions? We argue in this paper that interactions are embedded within networks formed by chains of specific relationships between known third parties. The anticipation of future interactions with external others conditions our interpretation of the current situation and affects our behavior in the interaction. We
Michael Schultz, Leslie DeChurch, Noshir Contractor   +2 more
wiley   +1 more source

Independent Time Transfer in 5G Technology Over IP Core Networks Using PTN Overlay and Comparison With GPS/GNSS-Based Synchronization

IEEE Access
Time synchronization is critical for 5G networks, enabling ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC).
Mustafa Serdar Osmanca, Umut Keten, Yusuf Islam Demir, Kahraman Zaim   +3 more
doaj   +1 more source

A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks

IEEE Access, 2017
Resource allocation, or scheduling, is one of the main challenges that face supporting machine-to-machine (M2M) communications on long term evolution networks. M2M traffic has unique characteristics.
Ahmed Elhamy Mostafa, Yasser Gadallah
doaj   +1 more source

Multipower‐level Q‐learning algorithm for random access in nonorthogonal multiple access massive machine‐type communications systems [PDF]

, 2022
Giovanni Maciel Ferreira Silva, Taufik Abrão   +1 more
openalex   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source