(A–C) by Abdullah Faiz Al Asmari (20889957)

“…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …”

(A–C) by Abdullah Faiz Al Asmari (20889957)

“…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …”

(A–3C) by Abdullah Faiz Al Asmari (20889957)

“…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …”

(A–C) by Abdullah Faiz Al Asmari (20889957)

“…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …”

Comparison values of Avg. handoff outage. by Abdullah Faiz Al Asmari (20889957)

“…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …”

Number Theoretic Transform for CRYSTALS-Kyber by Ayesha Waris (22434484)

“…<p dir="ltr">This work presents an FPGA implementation of single-path delay feedback based NTT core for CRYSTALS-Kyber by employing various architectural optimizations including pipelining, resource sharing and algorithmic optimizations like multiplier-less Montgomery reduction algorithm.…”

Effect of atmospheric turbulence anisoplanatism toward LEO satellite-to-ground laser communications link by Qingfang Jiang (21374513)

“…These findings underscore the critical role of multi-path observations in identifying minute scale optimal communication windows, thereby enhancing the stability and reliability of LEO-SGLC link.…”

Effect of Atmospheric Turbulence Anisoplanatism on LEO Satellite-to-Ground Laser Communications Link by Qingfang Jiang (21374513)

“…These finding sunder score the critical role of multi-path observations in identifying minute scale optimal communication windows, thereby enhancing the stability and reliability of LEO-SGLC link.…”

Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

“…Ultimately, the navigation line is extracted by linear fitting, representing the autonomous vehicle’s optimal path. An assessment was conducted on a sugarcane dataset. …”

Table 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

“…Ultimately, the navigation line is extracted by linear fitting, representing the autonomous vehicle’s optimal path. An assessment was conducted on a sugarcane dataset. …”

Image 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

“…Ultimately, the navigation line is extracted by linear fitting, representing the autonomous vehicle’s optimal path. An assessment was conducted on a sugarcane dataset. …”

Image 3_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

“…Ultimately, the navigation line is extracted by linear fitting, representing the autonomous vehicle’s optimal path. An assessment was conducted on a sugarcane dataset. …”

Image 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

“…Ultimately, the navigation line is extracted by linear fitting, representing the autonomous vehicle’s optimal path. An assessment was conducted on a sugarcane dataset. …”

Classification of computer networks. by Tibebu Legesse (21030014)

“…By considering these factors, EASP-AODV effectively reduces link breakages, enhances route stability, and prolongs the overall lifetime of the network. The algorithm optimizes energy usage, ensuring that nodes with higher residual energy are preferred for routing, thus minimizing energy depletion and mitigating early node failures. …”

Simulation parameters. by Tibebu Legesse (21030014)

“…By considering these factors, EASP-AODV effectively reduces link breakages, enhances route stability, and prolongs the overall lifetime of the network. The algorithm optimizes energy usage, ensuring that nodes with higher residual energy are preferred for routing, thus minimizing energy depletion and mitigating early node failures. …”

General mobile ad hoc network topology. by Tibebu Legesse (21030014)

“…By considering these factors, EASP-AODV effectively reduces link breakages, enhances route stability, and prolongs the overall lifetime of the network. The algorithm optimizes energy usage, ensuring that nodes with higher residual energy are preferred for routing, thus minimizing energy depletion and mitigating early node failures. …”

Image 1_Constructing ancestral recombination graphs through reinforcement learning.eps by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”

Image 2_Constructing ancestral recombination graphs through reinforcement learning.eps by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”

Data Sheet 1_Constructing ancestral recombination graphs through reinforcement learning.pdf by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”

Image 3_Constructing ancestral recombination graphs through reinforcement learning.eps by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”